Fully funded Ph.D. student position of the Research Training Group "3D Tissue Models for Studying Microbial Infections by Human Pathogens" (RTG 2157)
Universität Würzburg, Lehrstuhl für Mikrobiologie Würzburg

The Research Training Group (RTG 2157), started in April 2016, integrates the long-standing expertise in infectious diseases at the University of Würzburg and new technologies into an exciting new focus on 3D human tissue models. Within this program, scientists from the Biocenter of the University of Würzburg, the Research Center for Infectious Diseases, and the Chair of Tissue Engineering and Regenerative Medicine of the University Hospital and Fraunhofer ISC, Unit Würzburg, take a novel route to investigate microbial infections under close-to-natural conditions.


The training group offers an excellent infrastructure for training and research by internationally recognized scientists with state-of-the-art technologies. The program is complemented by seminars, courses, hands-on workshops, writing and presentation training as well as practical career development opportunities.
Activities and responsibilities
The RTG 2157 offers a unique opportunity within a collaborative framework of experts to establish and exploit human infection models for the in-depth investigation of mechanisms underlying host-human pathogen interactions. In particular, the interdisciplinary synergistic cooperation between engineers with life and medical scientists in the RTG 2157, which is the basis of this highly innovative research program, will pave the way for the successful use of the new models for studying infections by major human pathogens.
Qualification profile
We are seeking highly qualified students holding a M.Sc. or equivalent degree with a background in one or several of the following fields: Microbiology, Cell / Molecular Biology, Biochemistry, Genetics, Biophysics, Bioinformatics.
We offer
We offer
Widely visible international research environment
Interdisciplinary and structured Ph.D. program
Intensive support
Send application to
GRK Coordinator

Meike Scheuring
Chair of Microbiology
Biocenter
University of Würzburg
Am Hubland
D-97074 Würzburg
Tel.: 0931 31 86343
Fax: 0931 31 84402

Email: meike.scheuring@uni-wuerzburg.de
Web: www.uni-wuerzburg.de/grk2157

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PhD positions in Medical Imaging in Berlin
Charité - Universitätsmedizin Berlin

8 PhD positions (TVöD E13, 65%) are available at Charité, starting April 1st 2020. These will be part of the Research Training Group (Graduiertenkolleg) on ‘Biophysical and Quantitative Imaging towards Clinical Diagnosis’ (BIOQIC). BIOQIC's management office is located at the Berlin university hospital (Charité). It comprises a collaborative venture of Charité, Berlin universities (Technical University and Free University), and research institutions (Physikalisch-Technische Bundesanstalt Berlin, Leibniz-Forschungsinstitut für Molekulare Pharmakologie Berlin-Buch). There will be 15 PhD projects in total; 7 additional PhD positions will be located at the Berlin Universities TU and FU, and the above mentioned Berlin research institutions. All PhD positions will be available for a period of 3 years in total.
Activities and responsibilities
BIOQIC is centered on clinical imaging technologies such as MRI, ultrasound, PET/SPECT and CT, with a focus on objective and quantitative measurements. BIOQIC offers collaborative supervision from basic scientists and clinicians, embedded in one of the most dense and innovative academic regions in Europe, including the top-rated teaching hospital Charité with one of Europe's largest radiological departments. More information about us, and what we do, can be found on our website https://www.bioqic.de/.

Themes:

Cardiovascular Imaging
MR
MRE
CT
Ultrasound
PET
SPECT

Machine Learning/ Automated Analysis
Reconstruction
Motion Correction
Inverse Problems
Image Analysis
Cardiovascular Disease and Tumor Classification

Biophysical Foundations of Imaging
Multiscale Imaging
Multiscale Analysis & Modeling
Micromechanics
Microstructure Analysis
Modeling
Qualification profile
We are looking for highly motivated, inquisitive, enthusiastic, and result-oriented PhD candidates with an excellent academic record and prior research experience. Candidates should ideally hold Master’s degrees in Physics, Engineering, Mathematics, Chemistry, Biology, Medicine, or related disciplines, relevant for the development of innovative medical imaging technologies.

Please send your application in English, no later than December-15-2019 (11:59 p. m. CET), as a single electronic document (preferably in PDF format) to bioqic@charite.de.

Please include:

• the filled BIOQIC application form from our website:
https://bioqic.de/wp-content/uploads/2019/11/BIOQIC_application_form_NOV2019.doc
• a complete and up-to-date curriculum vitae
• names and contact details of at least 2 references
• Bachelor’s and Master’s trannoscripts.
We offer
BIOQIC places particular emphasis on gender equality and fosters and encourages female researchers.
Send application to
bioqic@charite.de

Dr. Judith Bergs, BIOQIC Coordinator

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Postdoctoral position in Machine Learning and Clinical Informatics @UC San Diego (UCSD)

Applications are invited for a postdoctoral research position in San Diego, CA, focused on application of Machine Learning/Deep Learning/Predictive Analytics in Medicine. Applicants must show an exceptional research track record, and hold a Ph.D. degree in Electrical Engineering, Computer Science, Statistics, or related fields. Applicants should have a solid background in cross-disciplinary application of signal processing and machine learning to clinical and neurophysiological signals and systems. To apply, please use the 'contact us' link (http://nematilab.info/openings.html), and briefly describe your research interests. This position is open to US Citizens and we encourage talented individuals from a diverse background to apply.

Keywords: postdoctoral, post-doctoral, postdoc, fellowship, Machine Learning, Deep Learning, Clinical Informatics

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Open Position as Research Fellow - EURA, DIRPOLIS Institute, Sant'Anna School of Advanced Studies - Deadline 3 December, 2019

The Jean Monnet Centre of Excellence on the Regulation of Robotics and Artificial Intelligence “EURA” is pleased to announce that the DIRPOLIS Institute of the Sant’Anna School of Advanced Studies is hiring one research fellow working in the field of ROBOLAW!



The position corresponds to the Italian qualification of “Assegnisti di ricerca” and, for the purposes of the classification set forth by the Italian Ministry of Education and Research (MIUR), pertains to the scientific area of private law (IUS/01).



We are looking for applicants to work within EURA on various issues connected to the regulation of robotics and AI, under a private law perspective (e.g.: liability, insurance, data ownership and protection, intellectual property, standardization and certification, users’ trust and acceptance, privacy-by-design, human-robot interaction, trust, and empathic machines), under the supervision of <https://www.eura.santannapisa.it/director-scientific-coordinator> Dr.

Andrea Bertolini.



Selected candidates will work on national and international project funded, undergo independent, collaborative, and supervised research – possibly involving consultancy to policy-makers – and will participate in future applications for funding, in the organization of conference and events, as well as in teaching activities. The candidate is also required to perform some administrative work related to the above.



The contract duration is for one year, but the possibility the renew the contract for a maximum of 3 years is provided. More information on the job offer and on the application procedure can be found at the following <https://www.santannapisa.it/en/assegni-di-ricerca-e-selezioni/dirpolis-inst

itute-regulation-robotics-and-artificial-intelligence> link. Make sure

itute-regulation-robotics-and-artificial-intelligence> you

apply by the 3rd of December!

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PhD Position in Deep Learning for Robotics at Istanbul Technical University (Turkey), in collaboration with Halmstad University (Sweden)

Artificial Intelligence and Robotics (AIR) Laboratory at Istanbul Technical University (ITU) announces the availability of a Ph.D. position in Deep Learning for Robotics.


The selected Ph.D. student will carry out research on developing novel neural networks to fuse various sensory data streams, derive semantics and generate policies to predict and prevent failures in the context of robot imitation learning of human manipulation actions. The research will be performed within the PARTNER (*P*redicting *a*nd P*r*eventing Unsafe Si*t* uatio*n*s for S*e*rvice *R*obots) project funded by the Scientific and Technological Research Council of Turkey (TUBITAK). The project is in close collaboration with Halmstad University (HH) and aims to design and develop an effective system for service robots to predict and prevent unsafe states.


The student will be employed by the AIR Lab at ITU. There is a certain possibility that the student will receive a Ph.D. degree from both universities (i.e. a double degree). The selected Ph.D. student will be placed at the AIR Lab where Assoc. Prof. Sanem Sariel will be the main supervisor and guide the daily work. The PHD work will be in close collaboration with Asst. Prof. Eren Erdal Aksoy as academic supervisor at HH. It is foreseen that shorter periods of time will be spent at HH to perform various robotics experiments.

The selected Ph.D. student will be responsible for conducting research within the PARTNER project and for participating in the required Ph.D.

course activities. The employment also includes teaching responsibilities corresponding to a maximum of 20% of full-time. Applicant will be part of an international workgroup and an English-speaking environment.


This is a full-time position available from January 2020 for a period of three years with a possibility of a further extension, subject to satisfactory progress of the Ph.D. study and funding availability. Enough resources to fund experiments and conference travels are available


*Requirements

The ideal candidate has a Master’s degree in robotics, computer science, machine learning, mathematics, physics, or a related engineering discipline. A strong background in robotics, computer vision, machine learning, or software engineering is desirable.

Excellent programming skills, analytical problem solving and organizational abilities are required. Prior practical experience in ROS and deep learning is a plus.

*Application*

A full application consists of:
1. a detailed CV
2. a motivation letter / research statement

3. two reference letters
4. copies/links to publications and software samples, if any
5. degree certificates and grade trannoscripts (master and bachelor)
List of qualifications and other documents that the applicant wishes to refer to should be enclosed with the application. All copies must be attested.


Applications should be sent to: sariel@itu.edu.tr and eren.aksoy@hh.se


*Closing date*

The application deadline is *06 December 2019*.

For more information about the position, please contact Associate Prof.

Sanem Sariel (sariel@itu.edu.tr) and/or Assistant Prof. Eren Erdal Aksoy (

eren.aksoy@hh.se)

Kind regards,
Eren Aksoy
Eren Erdal Aksoy
Assistant Professor
Halmstad University (HH)

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PhD Position in Biomedical Image Analysis and Deep Learning, Heidelberg University

The research group Biomedical Computer Vision (BMCV) currently offers a PhD
position in the field of Biomedical Image Analysis. The task is the
development of methods and software for automated analysis of biomedical
images using Deep Learning. The aim is to improve medical diagnosis and
therapy, and the work is carried out in cooperation with biomedical
partners.

The BMCV group develops methods and algorithms for automated analysis of
biological and medical images, in particular, cell microscopy images and
medical tomographic images. A wide spectrum of methods is investigated
including segmentation, tracking, registration, and machine learning. A
focus is on deep learning methods. The group achieved excellent results in
international competitions on tracking.

Candidates must have a Master in Computer Science, Electrical Engineering,
Medical Informatics, Biomedical Engineering, Bioinformatics, Applied
Mathematics, or a related discipline. We are looking for person with a
background in Image Analysis and Deep Learning as well as good mathematical
and programming skills. We also expect experience with software development
systems and software container techniques. Candidates should be highly
motivated, team-oriented, and interested in interdisciplinary research.

Please send your application per E-Mail to:
PD Dr. Karl Rohr
Heidelberg University, BioQuant Center, IPMB, and DKFZ Biomedical Computer
Vision Group Im Neuenheimer Feld 267
69120 Heidelberg, Germany

E-Mail: k.rohr (at) dkfz.de or k.rohr (at) uni-heidelberg.de
http://www.bioquant.uni-heidelberg.de/bmcv

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Fully Funded PhD position in AI and Machine Learning for mental well being at ORU, Sweden

This is a fully funded PhD position on AI and Machine Learning at the Centre for Applied Autonomous Sensor Systems (AASS, www.oru.se/aass) at Örebro University (www.oru.se), Sweden. This PhD position is funded by the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP, wasp-sweden.org), which a Swedish national initiative.

The research topic for this PhD position is to devise and implement new artificial intelligence-based systems to monitor and asses the quality of life of citizens, with main focus on mental well-being. Target populations of this system include elderly people living independently, and people at risk of developing negative mental states (stress, anxiety, and depression), among others.

AI and Machine learning will be used to estimate in real time the mental well-being of people. This includes mood (happiness, sadness, sleepiness, etc), and negative states (stress, anxiety) in order to assess the potential risk for a depression of people during their daily life activities. Assessment will be based on data from different sources including sensors, activity patterns, mental assessment, daily agenda, and so on. New ways of data collection will also be researched. An important question to be answered will be what are the relevant data and the relevant moods when it comes to the assessment of mental well-being.

For more specific details on this PhD position and the application process, please visit the link:

https://www.oru.se/jobba-hos-oss/lediga-jobb/jobbannons/?jid=20190271

Contact persons:
- Assoc. Prof. Oscar M. Mozos, email: oscar.mozos@@oru.se / omozos@gmail.com / www: sites.google.com/view/oscarmozos

Regards,
Oscar
-----------------------------
Oscar Martinez Mozos, PhD

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Associate Lecturer (Education Focused) in Geography - DEADLINE 19 Decembe

The School of Geography and Sustainable Development is seeking an outstanding teacher for a post as Associate Lecturer (Education Focused) with expertise in Population Geography and Quantitative Methods. We are looking for candidates with experience in teaching of population geography and quantitative methods, and applicants who have a research profile to contribute to research-led teaching for students on Geography and Sustainable Development degree pathways. This is a five-year fixed-term post.
The successful applicant will join the Population and Health Research Group (PHRG), which is one of three research clusters in the School through which upper division teaching is organized. The PHRG is home to six academic staff and a team of post-doctoral researchers and PhD students. The core academic staff are: Dr Nissa Finney, Dr Jo Mhairi Hale, Dr Katherine Keenan, Professor Hill Kulu, Dr David McCollum, and Professor Maarten van Ham (https://populationandhealth.wordpress.com/our-people/), with collaboration extending across the School and beyond.

Teaching in the PHRG covers a wide range of demographic topics including the analysis of family and fertility dynamics; life course choices; internal and international migration; ethnicity and minority populations; health and mortality; and population inequalities (http://www.st-andrews.ac.uk/gsd/research/phrg/). The group combines expertise in demographic and longitudinal data analysis; population projections; spatial and geographical analysis; and qualitative and mixed methods. There are a number of ongoing research projects funded by UK research councils and the European Commission. The group hosts the ESRC Centre for Population Change (CPC) (http://www.cpc.ac.uk/).

Candidates should hold a PhD in human geography, demography, sociology or a cognate social science discipline (including statistics and applied mathematics). Excellent teaching skills are essential. This is an excellent opportunity for a dynamic individual to work in and collaborate with an international team of population and health researchers.

Please quote ref: AOAC2064RXHM

More information here.

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Postdoctoral Fellow in Sociology and Social Demography - DEADLINE 8 January

Applications are invited for a Postdoctoral Fellow in Sociology and Social demography. The post is available initially for a fixed-term duration until 30 June 2021 (with the possibility of further extension).

This project FAMSIZEMATTERS seeks to understand the implications of (changing) family size for the (re)production of inequalities. We study a range of elated questions on the consequences of low fertility for inequalities in (1) children, (2) adults and (3) societies. With regard to children, we investigate multigenerational processes, the changing role of sibling size and the role of only-children in (re)producing inequalities. For parents with adult children, we study when and where the ‘quality’ of children becomes increasingly important and we examine the role of childless adults in the (re)production of inequalities. Questions about gender inequality run through all these issues. The project takes a quantitative comparative approach over time and across societies in Europe and East-Asia.

The Postdoctoral Researcher will engage in advanced independent research within the remit of the project. More specifically, they will shape and carry out research in the larger project focussing on one or more of the following sub-themes of the larger project with particular attention to: only-children, multi-generational effects, sibling size, childlessness, high-fertility sub-populations in low fertility societies, life-course research, gender inequalities, or simulation modelling.

Other main duties will include publishing research, supporting and collaborating with data preparation, analysis and other aspects of work related to the project, provide guidance to junior members of the research group and act as source of information to other research group members, develop ideas for research grants and assist in preparation of proposals and to represent the research group at internal and external events and present papers. The postholder will have the opportunity to teach.

Applicants should hold a PhD, or be close to completion, in sociology, demography, economics, statistics or another relevant discipline. Previous experience of independently managing a discrete area of a research project, actively collaborating in the development of research articles for publication, or experience with cross-national comparative research will be an advantage.

More information here.

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Causal learning in very high dimensions

We will shortly have an opening at the postdoc level to work on causal learning in high dimensions. The focus is on the interface between causality and machine learning, including both deep learning and sparse, high-dimensional methods, and on rigorous assessment using interventional data. We work on both methodology and on cutting-edge applications in biomedicine. Expertise in one or more of causality, deep learning, high-dimensional inference and probabilistic graphical models would be relevant.

The position is within my group at the DZNE in Bonn, Germany. The DZNE is a flagship federal institute offering outstanding conditions for research. Bonn is a beautiful city on the banks of the Rhine, offering a high quality of life and a fantastic location in the heart of Europe.

If interested, please email machinelearning (at) dzne (dot) de with a CV and list of publications (as a single pdf please) asap.

Sach Mukherjee.

—
Head, Statistics and Machine Learning
Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE), Bonn, Germany.
Honorary Senior Visiting Fellow, University of Cambridge, UK.

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Application European Doctorate in Law and Economics (EDLE) start 2020 now open!

Application for programme starting October 2020

application deadline: 1 February 2020



6-7 scholarships available!



· one of the largest doctorate programmes in the field

· a joint doctoral programme by four of the leading European universities: the Universities of Bologna, Hamburg, Rotterdam and Rennes 1

· a chance to live in (at least) three different countries and work together with PhD researchers from all over the world

· scholarships offered by partner universities

· multiple doctoral degree



Admission to the programme:

Diploma or a bachelor and master degree in law or economics or a relevant field, or an equivalent university degree (second cycle qualification).



Selection:

Applicants will be selected on the basis of their academic merit and their capability of carrying out high-level scientific research activities in the field of the economic analysis of law, and in compliance with the regulations. Good knowledge of English is a prerequisite.



More information about the programme, the application procedure and required documents is available on www.edle-phd.eu.

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PhD student positions to investigate the role of platelets in thrombo-inflammatory processes
Rudolf-Virchow-Zentrum Würzburg

The Department of Experimental Biomedicine at the
Rudolf Virchow Center/University Hospital Würzburg
invites applications for
3 PhD student positions (TV-L 13, 65%)
to investigate the role of platelets in thrombo-inflammatory processes.

Platelet activation at sites of vascular injury is essential for hemostasis, but in diseased vessels it can also lead to ischemic events, such as heart attack and stroke. Moreover, the interaction of platelets with cells of the immune system (“thrombo-inflammation”) is critically involved in the pathogenesis of inflammatory disease states.
Our interdisciplinary research team investigates the cellular and molecular mechanisms of thrombo-inflammatory diseases, such as ischemic stroke or liver inflammation. Our long-term goal is to identify novel targets for the development of improved therapies against vascular diseases.
The PhD projects will include the use of cutting edge imaging techniques, cell biology, molecular biology, biochemistry and mouse genetics, and will have a strong biomedical/translational context. We offer the opportunity to work in an excellent scientific environment and to collaborate with international research groups, as well as a pleasant working atmosphere.
Activities and responsibilities
We are seeking highly motivated PhD students to work on the following research topics:
Advanced light-microscopy to study thrombopoiesis and ischemic stroke
Elucidating platelet-immune cell interactions in ischemic stroke
Platelets as modulators of liver inflammation and resolution
A more detailed denoscription of the individual projects can be found at https://www.platelets.eu/career/.
Qualification profile
Suitable candidates should hold a Master’s degree or equivalent in a life sciences subject with a strong interest in molecular and (vascular) cell biology/immunology, mouse models and different imaging techniques. Excellent lab skills and good knowledge of the English language are a prerequisite. Previous experience with in vivo work and/or advanced imaging techniques is highly advantageous.
We offer
We offer an international and excellent scientific environment that is embedded in the framework of a new German wide research consortium on platelets (http://www.tr240.de). Its infrastructure is unique in the platelet research field and offers the opportunity to collaborate with national and international basic and translational research groups. The research lab consists of several post-doctoral scientists, PhD students, master students and research assistants.
As a PhD student you will have the opportunity to become part of the international ‘Graduate School of Life Sciences’ (GSLS) (http://www.graduateschools.uni-wuerzburg.de/life_sciences). The university furthermore offers comprehensive services concerning administrative and practical matters, e.g. the Welcome Centre (moving to Würzburg) and the International Office.
The salary for this temporary position is commensurate with training and experience according to Collective Agreement for the Public Service of German Federal States TV-L (E13 (65%)). We particularly encourage female scientists to apply. Disabled applicants will be preferentially considered in case of equivalent qualification.
Send application to
The position will start on January 15th, 2020 or later. Applications should be sent as a single pdf-document including application letter, curriculum vitae, certificates including contact details of two references by e-mail until November 30, 2019 to Dr. David Stegner (career@platelets.eu).
For further questions, please do not hesitate to contact Dr. David Stegner (stegner@virchow.uni-wuerzburg.de).

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PhD position (Molecular biology / Biotechnology): Antiviral virus particles
Max Planck Institute for Dynamics of Complex Dynamical Systems Magdeburg

The Bioprocess Engineering Group at the Max Planck Institute for Dynamics of Complex Technical Systems (Magdeburg) offers a PhD position in the Molecular Biology team with following topic:
“Antiviral virus particles: generation and mode of action of influenza A virus-derived defective interfering particles”
Activities and responsibilities
Defective interfering particles (DIPs) are defective and non-infectious virus particles that contain a deleted form of the viral genome. Moreover, DIPs interfere with the replication of their homologous, fully infectious standard virus (STV) in a co-infection, i.e., a suppressed STV replication and the release of mainly noninfectious DIPs can be observed. Interestingly, previous research indicates that DIPs may serve as an antiviral agent.

One of the major research aims of the Bioprocess Engineering Group is the optimization of influenza vaccine manufacturing in bioreactors using animal cells. However, lately, we also consider the production of DIPs. These are urgently needed, as many viruses are developing resistances against current chemical compounds. Besides establishing a production process, we are also highly interested in the in-depth characterization of the mode of action of DIPs. In the context of the PhD work, both basic and applied research (in molecular biology) shall be conducted.
Qualification profile
above-average Master degree in biochemistry, biosystems technology, biotechnology, or similar
profound knowledge in molecular biology
methods (optional): cell culture, real-time RT-qPCR, molecular cloning, transfection and transduction techniques, or CRISPR/Cas9
high motivation, a self-initiative, autonomous and conscientious working style, team work skills
We offer
We offer a PhD position in an interdisciplinary and intercultural research group, extensive training, direct and competent supervision, and state-of-the-art instrumentation and laboratory equipment. The position is granted for three years with a salary based on the Collective Wage Agreement for Government Service Workers (TVÖD). An extension is possible.
Send application to
Please submit your application documents including a CV, reference letters, and trannoscript of records (high school, Bachelor and Master degree) only via email to:
Prof. Dr.-Ing. Udo Reichl
sek-bpe@mpi-magdeburg.mpg.de

The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds. Furthermore, the Max-Planck society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.

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Postdoc Computer Science, Computational Biology - Next Generation Sequencing Data Analysis (m/f/d)
Genomik und Immunregulation (LIMES) Bonn

PRECISE – Platform for Single Cell Genomics and Epigenomics
Experienced postdoc in Computer Science

The PRECISE – Platform for Single Cell Genomics and Epigenomics is part of the German Center for Neurodegenerative Diseases (DZNE) and the LIMES (Life and Medical Sciences) Institute at the University of Bonn. PRECISE uses high throughput technologies such as liquid handling robots and next generation sequencing (NGS), to answer basic and translational scientific questions in the area of neurodegenerative diseases and immunology together with local, national and international collaboration partners. PRECISE, in collaboration with industrial partners, offers access to novel, cutting-edge computer architectures focusing on the memory centric approaches. The successful candidate will be part of a team working on life science algorithms and computational approaches for Memory-Driven Computing to analyze next generation sequencing data and integrate NGS based datasets in a systems biology context. Key parts of the work include working with sparse data sets and developing novel algorithms that take advantage of PRECISE’s highly parallel Memory-Driven Computing systems.
Our requirements are
PhD or equivalent in computer science or related fields.
Experience in computational biology, bioinformatics or biomathematics is a plus.
Knowledge and expertise in working with sparse data.
Solid experience in object-oriented software development, ideally with C++ and python.
Experience in parallel computing and in-memory approaches is of advantage.
Enthusiasm to work in a thriving academic research environment.
An interest to work in an international environment.
A collaborative attitude and the ability to work independently as well as in a team.
Excellent verbal and written communication skills in English.
What we have to offer
Participation in a challenging research project
State of the art technologies to tackle important scientific and medical questions
A thriving interdisciplinary research environment at the DZNE
Fully established bioinformatics department
Memory-Driven Computing hardware resources
Close collaboration with industry partners and early access to novel developments

Salary is paid according to German TV-öD (E 13, 100%); the position is initially limited to two years.

The DZNE and the University of Bonn are equal opportunities employers.

Applications (in English) should include a CV, a brief statement of research experiences and interests, a list of publications (if applicable) and the addresses of two referees, the Reference number LIMES112019 and should be submitted as a single pdf file to Professor Dr. Joachim L. Schultze (office.immunogenomics@uni-bonn.de) by 01st of December, 2019. We are looking to fill this position as soon as possible.

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Postdoc Computational Biology, Bioinformatics - Single cell trannoscriptome analysis, NGS (m/f/d)
Genomik und Immunregulation (LIMES) Bonn

The Cluster of Excellence ImmunoSensation 2 is offering a
Postdoc position in computational biology/bioinformatics
at the Department of Genomics & Immunoregulation at the Life & Medical Sciences (LIMES) Institute, starting in December 2019 for two years, with the possibility of extension, in the field of single cell trannoscriptome analysis.

The LIMES (Life and Medical Sciences) Institute is part of the Faculty of Mathematical and Natural Sciences at the University of Bonn. The Institute has been established to foster molecular research spanning from immunology to metabolism using a broad spectrum of cutting-edge technologies including state-of–the-art genomic technologies. In this regard, the Department for Genomics and Immunoregulation at the LIMES-Institute together with PRECISE at the DZNE Bonn has a Next-Generation Sequencing Facility and is now seeking scientist in the field of bioinformatics, computational biology and systems biology with focus in single cell trannoscriptome analysis. The successful candidate will be part of a team preprocessing and analyzing single cell Next-Generation Sequencing data and improving/developing computational approaches using state of the art tools and IT infrastructure.
Our requirements are
Enthusiasm to work in a thriving academic research environment.
Strong background in computational biology, bioinformatics, biomathematics, biostatistics.
Experience in the analysis of Next-Generation Sequencing data e.g. single cell RNA-Seq, bulk RNA-Seq and ATAC/ChIP-Seq.
Strong background in biology, preferable immunology.
PhD degree or equivalent.
An interest to work in an international environment.
A collaborative attitude.
Ability to work independently as well as in a team.
Computer programming as well as skills.
Experience in working in Linux based environments.
Very good communication and writing skills in English.
What we have to offer
Challenging research projects.
State of the art technologies to tackle important scientific and medical questions
A thriving interdisciplinary research environment at the LIMES Institute.
Fully established bioinformatics department.

Salary is paid according to German TV-L (E 13 100%).

The University of Bonn is an equal opportunities employer.

Complete applications in English should include a CV, a brief statement of research experiences and interests, list of publications and addresses of two referees should be submitted as a single pdf file to Professor Dr. Joachim L. Schultze (office.immunogenomics@uni-bonn.de) by 22th of November.

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Postdoc Biology - Recombinant Protein Production, Antibodies (f/m/g)
Universitätsklinikum Würzburg Würzburg

The Hemibody Lab at the University Hospital Würzburg / Germany (Department of Medicine II; Chair: Prof Dr. Hermann Einsele)

is inviting applications for a

Postdoctoral Scientist for
Recombinant Protein
Production of novel Split T cell
engaging Antibodies (f/m/g)
Our group is working on innovative antibodies, so called Hemibodies, which redirect immune cells for ground-breaking combinatorial immunotherapy of cancer.

Your challenge: To lead recombinant protein production of T-cell engaging Hemibodies. You will optimize upstream and downstream processing (USP and DSP) in eukaryotic cell systems. The candidate will be able to work on a high-impact project initially for a period of 1 year with a permanent contract possible afterwards. The project will focus on the pre-clinical development of Hemibodies against Multiple Myeloma.

Your profile: Applicants for this position must have solid experience in recombinant production of challenging proteins using CHO cells, high-density fermentation, batch and fed-batch processes. We further expect the successful candidate to improve the protein format by protein engineering in order to develop a platform technology that enables development of future GMP production. The applicant will have an extraordinary level of work ethic and enthusiasm, a team and result-oriented work style, excellent communication and organizational skills, the ability to face scientific challenges with creativity and dedication.

Your team: Our lab and department provides a stimulating and nurturing environment with a team of experienced, driven scientists. The Department of Medicine at the University Hospital Würzburg runs one of the largest hematology and bone marrow transplantation units in Germany, which provides numerous opportunities for bench-to-bedside interaction, education and clinical translation.

The candidate will be able to participate in the mentoring of PhD-/MD-students and contribute to lab management and organization. Disabled applicants will be preferentially considered in case of equivalent qualifications.

Application: Please send a letter of motivation (German or English), your CV and list of publications and potential referees to:

Prof. Gernot Stuhler
stuhler_g@ukw.de

www.ukw.de

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Scientist as doctoral candidate in yeast metabolic engineering
RWTH Aachen University Aachen

The project you will be working on is aiming at the construction of a microbial production platform based on the methylotrophic yeast Ogataea polymorpha for the conversion of CO2-derived one-carbon compounds by exploiting the yeast`s native ability of methanol conversion.

You will work in a consortium of four academic partners spread all over Germany. The team at the iAMB will consist of two scientists (1 Ph.D. and 1 Postdoc)
Activities and responsibilities
Your job will involve methods from metabolic engineering and synthetic biology to generate strains able of metabolizing CO2-derived one carbon compounds into industrial relevant products.
Qualification profile
You have a Master's degree in a biological science and are interested in microbiological challenges. You know your way around biological labs and have worked with microbes before. Molecular biological methods are also in your repertoire. You enjoy working in a team and have the ability to motivate yourself.
We offer
We offer a three year employment with the possibility of obtaining a Ph.D. starting on February 1st, 2020. At the iAMB we value teamwork and are proud of our pleasant working atmosphere. The scientific work at the RWTH Aachen is happening in a highly interdisciplinary environment with many possibilities of collaborations. We also offer a participation at national and international conferences. The salary will be based on TV-L13 of which we are happy to offer 65%.

Please mention the ID (ID 005) when applying.
Send application to
Simone Schmitz (simone.schmitz1@rwth-aachen.de)

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Data Scientist - Demography, Migration and Governance Unit - DEADLINE 5 December

As the science and knowledge service of the European Commission, the mission of DG Joint Research Centre is to support EU policies with independent evidence throughout the whole policy cycle.

The JRC is located in 5 Member States (Belgium, Germany, Italy, the Netherlands and Spain). Further information is available at: https://ec.europa.eu/jrc/

Short denoscription of activity:

The current vacancy is with the Demography, Migration and Governance Unit, of the Space, Security and Migration Directorate. This Unit carries out research in support of EU policies in migration and related fields and is responsible for the day-to-day operation of the Knowledge Centre on Migration and Demography.

The European Commission's Knowledge Centre on Migration and Demography (KCMD) established in June 2016 is steered by JRC, DG HOME, and seven other services. It is tasked with providing solid scientific evidence for EU policy makers in migration, supporting the European Agenda on Migration and focusing on migration and demography developments at global scale addressing both short and mid-to-longer term policy needs.

The KCMD is there to map and structure existing knowledge on migration, address some of the key knowledge gaps through its own research, extend the knowledge through networking with external partners, and disseminate its findings and care for their uptake by EU policy makers. Its activity areas span from legal migration and integration, to the external dimension of migration, to underpinning work in innovative data sources and data analytics.

We are looking for a Trainee to contribute to the KCMD work on Migration Data Science and Innovation by carrying out data extraction, transformation, load and statistical analysis.

In particular, the individual will:

Handle large amount of Social Media and other non-traditional data for text and social network analysis;
Contribute to research reports and to the design of effective visualisations.
Qualifications:

Essential:

Academic background in data science or related fields;
Experience with R, as well as familiarity with relational and non-relational databases;
Very good data analysis skills;
Very good command of English (B2 level) both written and oral.
More information here.

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ully-funded PhD positions in Biomedical Sciences at the MDC Berlin (f/m/d)
Max-Delbrück-Center for Molecular Medicine Berlin

Max Delbrück Center for Molecular Medicine in the Helmholtz Association is devoted to biomedical research with the aim of understanding the molecular basis of health and disease and translating findings as quickly as possible into clinical applications. Better prevention, diagnosis and treatment of diseases are our ultimate goals.

MDC invites applicants for PhD positions.
Activities and responsibilities
Are you passionate about understanding the molecular basis of health and disease, and translating your findings into clinical applications? Are you interested in one of the following topics?
Cardiovascular research and metabolic diseases
Cancer and immunology
Neuroscience
Model systems and organoids
Medical systems biology
Computational biology and bioinformatics
Omics data science
Mathematical modeling
Imaging and MRI
Translational research
Join us!
Qualification profile
Who are we looking for?
You are an enthusiastic student with a strong interest in Life Sciences
Your degree is in biology, biotechnology, medicine, molecular medicine, chemistry, computer science, engineering, mathematics, physics or a related field
You hold or expect to obtain a Master degree not later than August 2020
We are committed to meet today’s challenges in biology and medicine and realize that excellent science requires outstanding researchers. If you aspire to be one of them – welcome to the MDC!

How to apply? Via our online recruitment portal! Applications via email can unfortunately not be accepted.

Application deadline: January 12, 2020.
We offer
At the MDC, we believe that to be a great scientist, one needs to train a diverse set of competences. To support our PhD researchers to develop both personally and scientifically, we offer a structured PhD program in a research-intensive atmosphere, including:
Excellent scientific, international and supportive environment
Individual PhD supervision and mentoring
Advanced scientific, research-related and methods training
Access to state-of-the-art infrastructure
Regular lectures and seminar series
Framework program for personal and career development
Participation in PhD symposia and retreats
Travel grants for external courses and conferences
Students may join our MDC-NYU PhD Exchange Programin Medical Systems Biology, or become associated with the interdisciplinary HEIBRiDS Data Science School. The working language of the program is English.

Berlin is one of the most vibrant cities located in the heart of Europe. It offers an incredible load of entertainment, cultural and recreational activities. The MDC is situated at two locations in Berlin: majority of infrastructure is located on Campus Berlin-Buch, a modern science and biotechnology park with a clear focus on biomedicine, while laboratories and offices of the Berlin Institute for Medical Systems Biology (MDC-BIMSB) are located on Campus Berlin-Mitte. Family-friendly campus offers services to support the compatibility of work and family life, such as campus kindergarten or fully equipped Parent-child room. Join our community of 400 international PhD students and enjoy studying and living in Germany!


MDC adheres to principles of responsible research, good scientific practice, openness and transparency, and is committed to setting a good example as a scientific environment where scientists can flourish and grow, independently of their national or ethnic background, functional variation, sex/gender identity/alignment/orientation, family configuration, or other such feature of their persons or contexts.


Contact
Email: phdmdc@mdc-berlin.de
Webpage: https://www.mdc-berlin.de/Application

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PhD studentship (f/m/d) – Electrophysiological methods for deciphering large-scale activity-dependent neuroplasticity
German Center for Neurodegenerative Diseases (DZNE) Dresden Altstadt

The German Center for Neurodegenerative Diseases (DZNE) is a unique non-university research center which is dedicated to the subject dementia and all its areas, as well as other neurodegenerative diseases. The center compasses the full spectrum of fundamental research through population sciences to health care research. The DZNE stands for excellence in research and science management, translation of scientific results into practice, interdisciplinarity and internationalization. It is a research center within the Helmholtz Organization of German research centers. With over 1,000 employees from 55 nations, spread over 10 sites, the DZNE is one of the national and international leading research centers in its research field.

More info

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PhD position in human T cell engineering at the Technical University Munich
Technische Universität München München

The new lab “Engineering Immune Cells for Therapy” at the Institute for Medical Microbiology, Immunology and Hygiene (MIH) at Technical University Munich is offering a PhD student position (http://www.mikrobio.med.tum.de/Projekt_AG_Schumann).
Activities and responsibilities
Our lab studies trannoscriptional regulation in human T cells and explores novel CRISPR technologies for T cell engineering for experimental and therapeutic purposes (Schumann & Lin et al. 2015, PNAS; Hultquist & Schumann et al. 2016, Cell Reports; Rupp & Schumann et al. 2017, Scientific Reports). Moving forward we want to apply these CRISPR tools to different human T cell subsets for a better understanding of the phenomenon of “T cell exhaustion”, a non-functional cell state which develops in solid tumors and during chronic viral infections. The PhD project will focus on characterizing different trannoscription factors in T cell exhaustion using genetic engineering (CRISPR-Cas9), flow cytometry and deep sequencing technologies (RNA-Seq, ChIP-Seq).
Qualification profile
We are a young team and looking for a highly motivated student with a strong interest in (human) immunology and genetics. The successful candidate should have completed a master’s degree (or equivalent), be creative and be committed to interdisciplinary research in a collaborative research environment. Previous expertise in mammalian cell culture, molecular biology techniques and flow cytometry are an advantage, but no prerequisite.
We offer
The doctoral candidate will be employed by TUM (65 % TV-L E13) for a total duration of three years (with possible extension) and will be part of TUM graduate school “Experimental Medicine”. TUM is an equal opportunity employer. Therefore, women are especially encouraged to apply. Preference will be given to disabled candidates with essentially the same qualifications.

Please include a CV, brief summary of your previous work experience, a short statement of why you chose to apply for this position and contact information of referees.
Enquiries and applications should be made to kathrin.schumann@tum.de.
Send application to
Prof. Dr. Kathrin Schumann
Institut für Medizinische Mikrobiologie, Immunologie und Hygiene
Technische Universität München
Trogerstraße 30
D-81675 München
Tel.: ++49 89 4140 9045
http://www.mikrobio.med.tum.de

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