#N3965

✅ Scholarships for PhD program; in the filed of Molecular Plant Sciences, Genetics, Biochemistry and Bioinformatics; at University of Bonn; in Germany

⏱ Deadline: #August 11, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/1sSp2G

#N3966

✅ Funded for PhD programme; in Machine Learning for User Modeling and User-Adaptive Interaction; at fortiss GmbH ; in Germany

⏱ Deadline: #August 11, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/iYFjXk

#N3967

✅ Funded for Postdoc programme; in Immunometabolism; at Sanofi-Aventis Deutschland GmbH; in Germany

⏱ Deadline: #August 11, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/zwxRMp

#N3968

✅ Funded for PhD programme; in Metabolic engineering and fermentation; at Fraunhofer-Institut für Molekularbiologie und Angewandte Oekologie IME ; in Germany

⏱ Deadline: #August 11, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/sAzWvz

#N3969

✅ Funded for PhD programme; in Development and application of functional-structural models of root resource uptake from subsoil; at Forschungszentrum Jülich GmbH ; in Germany

⏱ Deadline: #August 11, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/P8Eqpq

#N3970

✅ Funded for PhD degree programme; in the field of Autonomous Driving; at Universität der Bundeswehr München ; in Germany

⏱ Deadline: #August 11, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/gY8fWD

#N3971

✅ Funded for Postdoc programme; in basic and translational vascular research;at University Hospital Heidelberg; in Germany

⏱ Deadline: #August 10, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/miQyEU

#N3972

✅ Funded for postdoc programme; in Cellular Protein Quality Control; at the Goethe University Frankfurt; in Germany

⏱ Deadline: #August 12, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/r4VdJC

#N3973

✅ Funded for PhD programme; in Quantitative Analysis of Molecular Oncology; at the UMCG Groningen; in Netherlands

⏱ Deadline: #August 12, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/EudjcJ

#N3974

✅ Funded PhD position; in Plant Reproductive Biology; at Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung; in Germany

⏱ Deadline: #August 12, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/LirjYj

#N3975

✅ Funded for PhD programme; in Crystallisation of (bio)pharmaceuticals integrated with nanotechnologies and biotechnologies in downstream manufacturing process; at Loughborough University; in UK

⏱ Deadline: #August 12, 2018

✔️ https://news.1rj.ru/str/ApplyTime

🌐 https://goo.gl/EA1CRq

Research Associate in Quantitative Social Science: Educational Mobility (UCL)

This post represents an exciting opportunity for a quantitative social scientist (e.g. economist, sociologist, social statistician, demographer, social policy) to undertake high-impact research on ‘first in the family students to attend university’. ‘First in Family’ (FiF) refers to students who attend university (and obtain a degree), but whose mother and father did not. This project will be the first large-scale research study on FiF in the UK and will inform national and university level Widening Participation policies.

You will work with Dr Morag Henderson and Dr Nikki Shure on a Nuffield Foundation funded project to examine intergenerational educational mobility. The project involves conducting analysis using Next Steps to identify characteristics of FiF students including academic and non-academic traits compared to their peers who could have been FiF, but who did not achieve a degree, and university students who are not FiF. In addition to this, the project will identify how the FiF measure compares to other markers of disadvantage and analyse the higher education and labour market outcomes of FiF students using Next Steps. The project will also compare the aspirations of potential FiF students from the most recent generation of soon-to-attend university students in the Millennium Cohort Study (MCS) and Longitudinal Study of Young People 2 (LSYPE2) in order to provide first estimates of university aspiration and participation for the next generation.

You will be expected to:



• Conduct high quality research analysis using Next Steps, LSYPE2 and MCS, making use of appropriate advanced quantitative methods

• Contribute to high quality research outputs and policy reports

• Publish research in high quality peer reviewed academic journals

• Present research findings and contribute to workshops, conferences and seminars.

This post is available from 1st October 2018 until 31st March 2020.

Key requirements
Essential

Completion or near-completion of a PhD in a quantitative social science discipline, such as sociology, economics, psychology, social statistics, demography; or with a background in education or other quantitative education-related discipline. Candidates with no PhD, but demonstrating a substantial record of high-quality publications that could be used in submission for a PhD by publication will also be considered. A good understanding of applied quantitative research methods for large-scale [longitudinal] datasets.

Desirable

Expertise in educational research or social inequality research.


Closing date: 14 August, latest submission time is 23.59

Interview date: 5 September

Grade: 7

Contract: Full time

Salary: £34,635 – £41,864 per annum

Location: London

Apply Now

✔️ @ApplyTime

Assistant Professor - History of Science/Medicine, University of Wisconsin

Required Qualifications
• Ph.D. in History, or in a related field with a history emphasis. Degree must be earned by the first personnel review, no later than May 15, 2020.
• Coursework in and evidence of ability to teach courses on History of Science or STS, History of Medicine, or related
fields.
• Evidence of ability to teach World History general education courses.
• Evidence of ability to teach courses in historiography and historical methods, as well as historical research and writing.
• Evidence of ability to start an active program of research.

✔️ @ApplyTime

The School of History and Sociology at Georgia Institute of Technology invites applications for a
faculty position at the rank of assistant or associate professor

✔️ @ApplyTime

Postdoc Opportunity at Northwestern University Feinberg School of Medicine

Can machines learn from longitudinal patient records to predict patients' disease progression? Can we automatically discover diagnostic criteria or phenotypes of patients from Electronic Health Records? Can we use the insights obtained from machine learning to suggest new interventions or treatments towards precision medicine?

We are recruiting a postdoctoral fellow in the Division of Health and Biomedical Informatics at Northwestern University’s Feinberg School of Medicine. The postdoctoral fellow is expected to conduct research described above, under guidance from Dr. Yuan Luo, Assistant Professor in Departments of Preventive Medicine and (by courtesy) Industrial Engineering and Management Science, as well as Electrical Engineering and Computer Science. The fellow will also have the opportunities to work closely with top-notch clinicians from Northwestern Memorial Hospital, and strong supporting staff from Northwestern Medicine Enterprise Data Warehouse Team.

The successful candidate will have PhD in EECS, Biomedical Informatics, IEMS, Physics or related fields with solid programming skills. Experiences in some of the following areas are desirable: Machine Learning (ML) and/or Natural Language Processing (NLP) and/or time series analysis. The candidate should demonstrate good communication skills and ability to work in a collaborative environment, to coordinate and supervise part of the research project.

We offer a competitive salary and an initial appointment of 12 months, starting Spring/Fall of 2016-2017. Extension of the postdoctoral position for up to 3 years is possible. Northwestern University is an exceptional research institution that has a world-class medical school and is an emerging hub in biomedical informatics; our department is located in downtown Chicago, one of the most vibrant cities in the US. Be part of a prestigious institution that offers great benefits, and enjoy our lakefront working environment.

Please send your application to Yuan Luo <yuan.luo@northwestern.edu>, which should include:
- Curriculum vitae
- List of publications (attach a copy of one of your strongest papers)
- Contact details for 2 to 3 references

Northwestern University is an Equal Opportunity/Affirmative Action Employer.

✔️ @ApplyTime

Postdoc Position at MIT in Machine Learning for Medicine

Dear Colleagues,

Please feel free to distribute the following post-doc announcement to potential candidates.

Massachusetts Institute of Technology's Institute for Medical Engineering & Science (IMES) has an immediate opening for a Postdoctoral Associate in Machine Learning for Medicine. We are seeking a highly-motivated individual to join a multidisciplinary research team to develop machine learning techniques for medicine, physiological dynamics modeling, and treatment decision support. The project offers opportunities to develop/apply novel machine learning and statistical methods to derive actionable insights from heterogeneous observational data from electronic health records, including clinical time series, medication/procedures, physician notes and reports, and physiological signals.

The ideal candidate will have demonstrated an outstanding capability for independent research and a solid publication record in top-tier machine learning, AI conferences. Candidate must hold a Ph.D. degree in Computer Science, Machine Learning, Statistics, or a related field. In addition to a curriculum vitae, applicants should submit a short statement of research interest to Li Lehman, lilehman@mit.edu.

For more details, please see http://web.mit.edu/lilehman/www/postdoc.html


Li-wei Lehman, Ph.D.
Research Scientist
Laboratory for Computational Physiology
Institute for Medical Engineering & Science
Massachusetts Institute of Technology

✔️ @ApplyTime

Bosch Professorship at Faculty of Informatics, Eötvös Loránd University in Budapest, Hungary

ELTE Faculty of Informatics (ELTE FI) in collaboration with Bosch Hungary establishes industry driven, R&D&I oriented research professor status in order to carry out teaching, research, and development in fields of computer science and computer engineering related to autonomous driving technologies, artifical intelligence and deep learning.

ELTE FI is one of the top ranked faculties in computer science in Hungary, having a prominent international standing and strong focus on R&D&I activities. EIT Digital Budapest Group initiated by ELTE is a full Node of EIT Digital. (www.inf.elte.hu, www.elte.hu).
ELTE FI will start a master program "Computer Science for Autonomous Driving" from 2018 in cooperation with Bosch Hungary.

Functions to be carried out:
- Demonstration of an internationally relevant and competitive research programme, meeting defined business requirements and problems.
- Contributing to the Faculty’s general research activities at operational and strategic levels.
- Planning and preparing significant research funding proposals.
- Planning, preparing and delivering effective teaching, supervision and assessment of graduate/postgraduate/PhD students in "Computer Science for Autonomous Systems", "Computer Science" and "Data Science" programs and related research projects.
- Creating synergies between research and education with involvement of students into research activities.

Requirements:
-PhD degree in computer science or computer engineering.
-On the basis of scientific performance ability to obtain habilitated doctor noscript within two years.
-University teaching experience.
-Candidates must have carried out outstanding scientific research in the fields of artifical intelligence, deep learning and related areas, which is proven by research output of a high level in peer-reviewed international publications (journals and/or books), and by results applied by industry, demonstrating a distinguished R&D profile.
-Candidates must have experience in heading up industrial research projects and coaching PhD students.

Starting date for the position is as soon as possible

Salary is Upon agreement. Due to support of Bosch Hungary, the salary of employee will be significantly higher than average salary in Hungary in similar positions.

Type of employment contract: public employee, full-time, 5 years

To apply, please submit the complete application as a ZIP archive to dean@fi.elte.hu
The application must include:
- Cover letter
- CV including a full list of publications
- Scanned copies of your certificates
- Statement of research interest and teaching objectives
- Documentation of additional relevant qualifications according to above specifications

Applications will be accepted until 30 of Aug 2018.

✔️ @ApplyTime

Funded mathematics PhD position - Designing the dynamics of coupled oscillators - University of Exeter, UK

The University of Exeter’s College of Engineering, Mathematics and Physical Sciences is inviting applications for a fully-funded PhD studentship to commence in September 2018 or as soon as possible thereafter. For eligible students the studentship will cover tuition fees in full plus an annual tax-free stipend of at least £14,777 for 3.5 years full-time, or pro rata for part-time study. The student would be based in the Department of Mathematics in the College of Engineering, Mathematics and Physical Sciences in Exeter.



Networks of interacting oscillatory units are abundant in nature and technology. Their function and dynamics governs crucial aspects of our lives, ranging from the stability of power grids to the dynamics of the human brain. The dynamics of oscillator networks depends on (1) which oscillators interact with which other oscillator and (2) how oscillators interact with one another. This project will contribute to the question how the interplay between these two factors shape the network dynamics.



The main aim of this PhD project is to develop theoretical and numerical approaches how oscillator networks can be designed to have specific interactions. This will allow to generate networks that exhibit a range of synchronized and locally synchronized dynamics. Moreover, the supervisor is currently collaborating with the experimental group of Istvan Z Kiss in St Louis (USA) who are working on electrochemical oscillators. Hence, there may be an opportunity to help implement the theoretical results in real-world experimental systems.



The studentship will be awarded on the basis of merit for 3.5 years of full-time study to commence in September 2018 or on a mutually agreed date as soon as possible thereafter, and is subject to confirmation of funding.

For full details please see the PhD advert. If you have any questions, please get in touch with Dr Christian Bick or Dr Kyle Wedgwood.

More Info:
https://www.exeter.ac.uk/studying/funding/award/?id=3189


✔️ @ApplyTime

2 Postdoctoral Research Fellow positions - EPSRC Centre for Predictive Modelling in Healthcare
University of Exeter, UK

Two Research Fellows are required to support the EPSRC Centre for Predictive Modelling in Healthcare (CPMH). The roles are available from 01 October 2018, or a mutually agreeable date soon thereafter, for a period of up to 24 months.

The CPMH is a £2M award which brings together outstanding scientists from mathematics, statistics, computer science and our medical school. With an additional £7M in research funding, the interface between mathematics, computer science and healthcare is one of the most rapidly expanding areas within the University. The Centre forms part of the Quantitative Biology and Medicine Initiative, which currently consists of 15 PDRAs, 9 fellowship holders, and 10 PhD students.

The successful candidates are expected to focus on one of the following areas, depending on their interests and background:

(a) Transient dynamics of networks with multiple time scales: there are significant mathematical challenges from disease modelling that require the development of new techniques to understand transient behaviour in multiple timescale systems, especially for systems where there is not a simple factorization into fast and slow subsystems.

(b) Numerical investigation of models of cardiac diseases: involving multi-scale excitable and transient dynamics, with a focus on re-entrant arrhythmias specifically concerning development and improvements of antiarrhythmia pacing, low-voltage defibrillation and catheter ablation. [In partnership with cardiologists at the RD&E Hospital, Exeter].

(c) Mathematical modelling and analysis of EEG in dementia: EEG analysis has shown promise in differentiating people with dementia from healthy older adults, and therefore could provide indications for early diagnosis. We will use mathematical models to better understand why differences in EEG occur and combine models and analysis to build improved diagnostic markers. [In partnership with colleagues in Bath, Bristol & Reading].



(d) Mathematical modelling and analysis of polygenic disease: conditions such as diabetes and dementia depend on the simultaneous presence of several genes; they are not inherited as simply as single-gene diseases and therefore require the development of new mathematical approaches to improve diagnosis via e.g. the interpretation and uncertainty quantification of proportions of patients in large data sets (e.g. UK Biobank) using genetic risk scores. [In partnership with diabetologists and neurologists from the Medical School].


For full details please see the job advert:

https://www.jobs.ac.uk/job/BLL261/postdoctoral-research-fellow

Application deadline: 20 August 2018.

For further information please contact Centre Director Professor John Terry, or Centre Manager Sarah Purcell.

✔️ @ApplyTime

Research Fellow in Embedded Control for Autonomous Vehicles, Cranfield University

Applications are invited for a postdoctoral research fellowship, working on an exciting collaborative project on high performance autonomous vehicles. The project is funded by Innovate UK and is being undertaken with partners from the automotive and motorsport industry. The project will involve the development, implementation and testing of novel motion planning and control algorithms for autonomous vehicles able to optimally interact with onboard active chassis control systems during high acceleration manoeuvring. The completed algorithms will be implemented and tested in a prototype vehicle, developed by our industrial partners. The research fellow will focus on the development of the embedded control system for the autonomous vehicle and the implementation of advanced motion planning and control algorithms.

More Info

✔️ @ApplyTime

15 PhD positions in Systems Biology

Acall for 15 PhD positions (Early Stage Researchers, ESRs) is open within the context of the recently granted European Innovative Training Network project “BestTreat - Building a Gut Microbiome Engineering Toolbox for In-Situ Therapeutic Treatments for Non-alcoholic Fatty Liver Disease (NAFLD)”. BestTreat is a high profi le consortium of 5 universities, 1 research center, 1 hospital and 7 companies distributed among Germany, Netherlands, Finland, Denmark, Austria, Sweden and China.

The collaborative BestTreat network aims to train young researchers in (i) understanding clinical and biological problems linked to NAFLD, (ii) developing technology tailored to solving said problems, and (iii) effi ciently translating technology, considering commercial challenges and regulatory aspects.

Career development and international mobility of researchers is a key concept within the MSCA ETN framework. All nodes of the BestTreat network will participate in a thoroughly designed ESR training program that sets emphasis on (i) strengthening crossdisciplinary skills, (ii) combining cutting-edge research training with vision for innovation and commercial exploitation, and (iii) surpassing barriers for knowledge exchange between industry and academia.

Qualifications:
Master’s degree in systems biology, human biology, bioengineering, biochemistry or related field
Background in computer science, bioinformatics, metabolism and microbiology will be an advantage
Specific Eligibility Criteria on the H2020 Marie Sklodowska Curie programme:
Early Stage Researcher: At the time of recruitment, the applicants should be in the first four years (full-time equivalent research
experience) of their research careers and have not yet been awarded a doctoral degree.
Mobility rule: At the time of recruitment, applicants should not have resided or carried out main activity (work, studies, etc.) in the country of the host benefi ciary for more than 12 months in the 3 years immediately prior to the recruitment date.
English language: Applicants must demonstrate that their ability to understand and express themselves in both written and spoken English is sufficiently high.

What we offer:

The successful candidates will receive an attractive salary in accordance with the MSCA regulations for Early Stage Researchers (http://ec.europa.eu/research/mariecurieactions). The exact salary will be confirmed upon appointment and is dependent on the country correction factor. The salary includes a living allowance, a mobility allowance and a family allowance. The guaranteed PhD funding is for 36 or 48 months, depending on the country of location. In addition to their individual scientifi c projects, all fellows will benefit from internships and secondments, a variety of training modules as well as transferable skills courses and active participation in workshops and conferences.

Work locations and Applications:

The detailed denoscriptions of the ESR positions, the work locations and application process are available via this link:

https://www.leibniz-hki.de/en/vacant-projects.html

Applications will be evaluated on a running basis. Hiring will take place between September 1st, 2018 und February 1st, 2019.

Additional information about the vacancies can be obtained from
Assoc. Prof. Dr. Gianni Panagiotou: Gianni.Panagiotou@hki-jena.de

✔️ @ApplyTime