I-Chun Lin <email.bckup@gmail.com>
Fri, Aug 19, 7:15 AM (7 days ago)
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The Gatsby Computational Neuroscience Unit invites applications for postdoctoral fellowships in theoretical neuroscience.
Successful applicants will carry out original research under the guidance of a faculty member, primarily on one of these research themes:
- How dynamical computation in neural systems underlies functions ranging from perceptual inference to deliberation, action selection and execution (mentor: Maneesh Sahani).
- Deep learning theory (mentor: Andrew Saxe).
Applications close at the end of August 2022. For detailed information on the roles and how to apply, please visit www.ucl.ac.uk/gatsby/vacancies
About the Gatsby Unit
Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning. The Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond.
--
I-Chun Lin, PhD
Scientific Programme Manager
Gatsby Computational Neuroscience Unit, UCL
www.ucl.ac.uk/gatsby | @GatsbyUCL
✔️ @ApplyTime
Fri, Aug 19, 7:15 AM (7 days ago)
to Machine Unsubscribe
The Gatsby Computational Neuroscience Unit invites applications for postdoctoral fellowships in theoretical neuroscience.
Successful applicants will carry out original research under the guidance of a faculty member, primarily on one of these research themes:
- How dynamical computation in neural systems underlies functions ranging from perceptual inference to deliberation, action selection and execution (mentor: Maneesh Sahani).
- Deep learning theory (mentor: Andrew Saxe).
Applications close at the end of August 2022. For detailed information on the roles and how to apply, please visit www.ucl.ac.uk/gatsby/vacancies
About the Gatsby Unit
Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning. The Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond.
--
I-Chun Lin, PhD
Scientific Programme Manager
Gatsby Computational Neuroscience Unit, UCL
www.ucl.ac.uk/gatsby | @GatsbyUCL
✔️ @ApplyTime
Faculty of Life Sciences
Vacancies | Faculty of Life Sciences
Join us and be part of a vibrant community of research and innovation.
Postdoc in Protein Bioinformatics
Dear MLCSB Colleagues,
A new fully funded postdoc position is available in my lab at http://biomine.cs.vcu.edu/. This position is at the interface of bioinformatics and machine learning and involves development of high-end protein bioinformatics tools and resources for the prediction and characterization of protein function and structure. This is an excellent opportunity to be part of the team that won the recent Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment (https://www.nature.com/articles/s41467-021-24773-7).
The position is open to both new and experienced postdocs. Research projects will involve design, implementation, comparative analysis, and deployment of computational algorithms, parsing and analysis of molecular data, and/or development and administration of online databases and servers. The ideal candidate will have a strong background in programming, use of machine learning libraries, predictive modelling, and (preferably) computational analysis of molecular data. Preference will be given to candidates who have experience in the analysis of protein sequences. We offer contracts for at least 2 years, access to state-of-the-art infrastructure, stimulating research environment, and excellent opportunities to work with a strong network of international collaborators.
Review of applications will start on Sept. 26, 2022, and will continue until filled. To apply, please visit https://vcu.csod.com/ux/ats/careersite/1/home/requisition/2406?c=vcu.
With warmest regards,
Lukasz
Lukasz Kurgan
Robert J. Mattauch Endowed Professor
Department of Computer Science, Virginia Commonwealth University
lkurgan@vcu.edu
http://biomine.cs.vcu.edu/
✔️ @ApplyTime
Dear MLCSB Colleagues,
A new fully funded postdoc position is available in my lab at http://biomine.cs.vcu.edu/. This position is at the interface of bioinformatics and machine learning and involves development of high-end protein bioinformatics tools and resources for the prediction and characterization of protein function and structure. This is an excellent opportunity to be part of the team that won the recent Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment (https://www.nature.com/articles/s41467-021-24773-7).
The position is open to both new and experienced postdocs. Research projects will involve design, implementation, comparative analysis, and deployment of computational algorithms, parsing and analysis of molecular data, and/or development and administration of online databases and servers. The ideal candidate will have a strong background in programming, use of machine learning libraries, predictive modelling, and (preferably) computational analysis of molecular data. Preference will be given to candidates who have experience in the analysis of protein sequences. We offer contracts for at least 2 years, access to state-of-the-art infrastructure, stimulating research environment, and excellent opportunities to work with a strong network of international collaborators.
Review of applications will start on Sept. 26, 2022, and will continue until filled. To apply, please visit https://vcu.csod.com/ux/ats/careersite/1/home/requisition/2406?c=vcu.
With warmest regards,
Lukasz
Lukasz Kurgan
Robert J. Mattauch Endowed Professor
Department of Computer Science, Virginia Commonwealth University
lkurgan@vcu.edu
http://biomine.cs.vcu.edu/
✔️ @ApplyTime
Virginia Commonwealth University
Commitment to Privacy
Postdoctoral research position - Document Intelligence and Privacy Preserving Learning
The Computer Vision Center (CVC) has a vacancy for a postdoc to work at the frontier between document intelligence and privacy preserving learning.
The position is linked to the European Lighthouse on Secure and Safe AI (ELSA) project https://elsa-ai.eu/, funded by European Union’s Horizon Europe research and innovation programme.
The successful candidate is expected to contribute to the design and development of AI solutions for document understanding, and in particular on Document Visual Question Answering systems, employing privacy preserving techniques and infrastructures set up by the ELSA project.
The candidate is expected to have extensive experience in at least one of: document intelligence and/or private and robust collaborative learning (differential privacy, federated learning), and an appetite to learn.
All applications must include a full CV in English including contact details and a Cover Letter with a statement of interest in English.
Duration: between 30 and 36 months, depending on the start date
Salary: €40,000 annual gross, according to CVC labour categories
More information and application procedure:
https://euraxess.ec.europa.eu/jobs/815190
http://www.cvc.uab.es/blog/2022/07/19/postdoctoral-research-position/
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070617. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
✔️ @ApplyTime
The Computer Vision Center (CVC) has a vacancy for a postdoc to work at the frontier between document intelligence and privacy preserving learning.
The position is linked to the European Lighthouse on Secure and Safe AI (ELSA) project https://elsa-ai.eu/, funded by European Union’s Horizon Europe research and innovation programme.
The successful candidate is expected to contribute to the design and development of AI solutions for document understanding, and in particular on Document Visual Question Answering systems, employing privacy preserving techniques and infrastructures set up by the ELSA project.
The candidate is expected to have extensive experience in at least one of: document intelligence and/or private and robust collaborative learning (differential privacy, federated learning), and an appetite to learn.
All applications must include a full CV in English including contact details and a Cover Letter with a statement of interest in English.
Duration: between 30 and 36 months, depending on the start date
Salary: €40,000 annual gross, according to CVC labour categories
More information and application procedure:
https://euraxess.ec.europa.eu/jobs/815190
http://www.cvc.uab.es/blog/2022/07/19/postdoctoral-research-position/
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070617. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
✔️ @ApplyTime
EURAXESS
Postdoctoral research position
The Computer Vision Center (CVC) has a vacancy for a postdoc to work in the frontier between document intelligence and privacy preserving learning. The position is linked to the European Lighthouse on Secure and Safe AI (ELSA) project https://elsa-ai.eu/…
Postdoctoral fellowships at the ENSTA Paris
The U2iS laboratory of ENSTA Paris at Institut Polytechnique de Paris is looking for a motivated and enthusiastic young researcher to work on 3D pose estimation and uncertainty. Founded in 1741 ENSTA Paris is the oldest "Grande Ecole" in France and is located in Palaiseau in the south of Paris.
We seek a research post-doc interested in uncertainty quantification. Deep Neural networks are increasingly overconfident and it is essential to be able to quantify their uncertainty.
The candidate should have basic knowledge of Deep Learning. Computer science/ or mathematician profiles are also welcome to apply.
If you are interested, please contact me: gianni.franchi at ensta-paris.fr
✔️ @ApplyTime
https://perso.ensta-paris.fr/~franchi/positions/Postdoc_uncertainty.pd
The U2iS laboratory of ENSTA Paris at Institut Polytechnique de Paris is looking for a motivated and enthusiastic young researcher to work on 3D pose estimation and uncertainty. Founded in 1741 ENSTA Paris is the oldest "Grande Ecole" in France and is located in Palaiseau in the south of Paris.
We seek a research post-doc interested in uncertainty quantification. Deep Neural networks are increasingly overconfident and it is essential to be able to quantify their uncertainty.
The candidate should have basic knowledge of Deep Learning. Computer science/ or mathematician profiles are also welcome to apply.
If you are interested, please contact me: gianni.franchi at ensta-paris.fr
✔️ @ApplyTime
https://perso.ensta-paris.fr/~franchi/positions/Postdoc_uncertainty.pd
Research Assistant Position in Preschool Developmental Cognitive Neuroscience
Laboratory for Child Brain Development
Department of Psychiatry, Washington University – St. Louis
https://wustl.wd1.myworkdayjobs.com/en-US/External (search Job #JR68816)
The Laboratory for Child Brain Development (LCBD-PI: Dr. Susan Perlman) currently has an opening for a research assistant to work on three NIH studies of temperament, the parent-child relationship, and biological stress unfolding during early childhood.
The applicant’s main appointment will be in the Laboratory for Child Brain Development (LCBD; http://www.childbrainlab.com) in the Department of Psychiatry in the Washington University, School of Medicine, William Greenleaf Eliot Division of Child and Adolescent Psychiatry (https://childpsychiatry.wustl.edu/). The LCBD is dedicated to using multi-modal methodology to understand the trajectories of emotional development from infancy to middle childhood (with a strong preschool focus). Currently, the LCBD has several ongoing projects including: 1) Biological changes in children experiencing stressful life events; 2) Longitudinal development of preschool irritability as a predictor for psychopathology; 3) Interpersonal brain synchronization in early childhood psychopathology, including autism spectrum disorder; 4) The impact of treatment for disruptive behavior on brain development and; 5) Brain development in preschool children who were born dependent on opioids, in addition to several local and national collaborations. The research assistant will mostly be working on two studies. The first is a longitudinal study investigating the biological unfolding of stress and how it predicts the onset of psychopathology in 4-6 year-old children. This study, funded by the National Institute of Mental Health employs intensive, state-of-the-art, multi-modal, neurodevelopmental measurement including functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), HPA axis measurement (hair and salivary cortisol), and inflammatory markers. The second is a NIH funded, longitudinal study investigating the transmission of anxiety from parent to child through dyadic interaction and biological synchrony. This study is also multi-modal and includes fNIRS, EEG, eye-tracking, and behavioral coding. The research assistant will also be aiding with data preprocessing and analysis from previously collected studies. Additional, multi-modal studies within the laboratory employ eye tracking, facial expression and behavioral coding, and sleep actigraphy, hair cortisol.
This is an ideal position for a candidate looking to gain research experience before applying to graduate or medical school. The research assistant will be an integral member of this scientific team and will have opportunities to earn authorship on publications and present posters at scientific meetings.
Position requires a bachelor’s degree in psychology, neuroscience, engineering or a related field. The ideal candidate will demonstrate interest in child development, strong motivation, work ethic, and organizational skills, and will combine collaborative orientation with the ability to function well independently. Flexibility in scheduling during some weekend and evening hours is required. This position requires experience in a research laboratory environment (whether through previous work experience or during undergraduate studies). Experience with a brain imaging modality (fMRI, EEG, fNIRS) and/or psychophysiology (heart rate, skin conductance, pupillometry) is preferred, along with experience in computer programming languages (R, Matlab, Python). Previous experience with children and families is required. The research assistant will be expected to cooperate fully with the lab’s Covid-19 protocol for safe data collection in children.
Laboratory for Child Brain Development
Department of Psychiatry, Washington University – St. Louis
https://wustl.wd1.myworkdayjobs.com/en-US/External (search Job #JR68816)
The Laboratory for Child Brain Development (LCBD-PI: Dr. Susan Perlman) currently has an opening for a research assistant to work on three NIH studies of temperament, the parent-child relationship, and biological stress unfolding during early childhood.
The applicant’s main appointment will be in the Laboratory for Child Brain Development (LCBD; http://www.childbrainlab.com) in the Department of Psychiatry in the Washington University, School of Medicine, William Greenleaf Eliot Division of Child and Adolescent Psychiatry (https://childpsychiatry.wustl.edu/). The LCBD is dedicated to using multi-modal methodology to understand the trajectories of emotional development from infancy to middle childhood (with a strong preschool focus). Currently, the LCBD has several ongoing projects including: 1) Biological changes in children experiencing stressful life events; 2) Longitudinal development of preschool irritability as a predictor for psychopathology; 3) Interpersonal brain synchronization in early childhood psychopathology, including autism spectrum disorder; 4) The impact of treatment for disruptive behavior on brain development and; 5) Brain development in preschool children who were born dependent on opioids, in addition to several local and national collaborations. The research assistant will mostly be working on two studies. The first is a longitudinal study investigating the biological unfolding of stress and how it predicts the onset of psychopathology in 4-6 year-old children. This study, funded by the National Institute of Mental Health employs intensive, state-of-the-art, multi-modal, neurodevelopmental measurement including functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), HPA axis measurement (hair and salivary cortisol), and inflammatory markers. The second is a NIH funded, longitudinal study investigating the transmission of anxiety from parent to child through dyadic interaction and biological synchrony. This study is also multi-modal and includes fNIRS, EEG, eye-tracking, and behavioral coding. The research assistant will also be aiding with data preprocessing and analysis from previously collected studies. Additional, multi-modal studies within the laboratory employ eye tracking, facial expression and behavioral coding, and sleep actigraphy, hair cortisol.
This is an ideal position for a candidate looking to gain research experience before applying to graduate or medical school. The research assistant will be an integral member of this scientific team and will have opportunities to earn authorship on publications and present posters at scientific meetings.
Position requires a bachelor’s degree in psychology, neuroscience, engineering or a related field. The ideal candidate will demonstrate interest in child development, strong motivation, work ethic, and organizational skills, and will combine collaborative orientation with the ability to function well independently. Flexibility in scheduling during some weekend and evening hours is required. This position requires experience in a research laboratory environment (whether through previous work experience or during undergraduate studies). Experience with a brain imaging modality (fMRI, EEG, fNIRS) and/or psychophysiology (heart rate, skin conductance, pupillometry) is preferred, along with experience in computer programming languages (R, Matlab, Python). Previous experience with children and families is required. The research assistant will be expected to cooperate fully with the lab’s Covid-19 protocol for safe data collection in children.
Myworkdayjobs
Join us today
Should I consider applying to older job postings? Yes. Due to the unique needs of each search, the selection process may occur at different paces for open positions. Individuals are encouraged to apply to all open positions of interest for which they meet…
This position is open for an immediate start date. Applicants who intend to spend a minimum of 2 years in the position will be preferred. There is a possibility of extending the position pending future funding and progress. Applicants will be considered until the position is filled. Please highlight relevant experience in your cover letter. Questions regarding the position should be directed to Dr. Perlman at perlmansusan@wustl.edu.
✔️ @ApplyTime
----------------------------------------------------------
Susan B. Perlman, Ph.D.
Director Laboratory for Child Brain Development
Associate Professor
Washington University-St. Louis
✔️ @ApplyTime
----------------------------------------------------------
Susan B. Perlman, Ph.D.
Director Laboratory for Child Brain Development
Associate Professor
Washington University-St. Louis
Call for a PhD student in Neuroethology/ Systems Neuroscience
A fully funded PhD position is available in our research group “Instinctive Behaviour Circuits”, headed by Dr. Vanessa Stempel.
About the lab. Our goal is to identify canonical neuronal computations and plasticity mechanisms that impart flexibility to instinctive behaviours. To answer these questions, we use a state-of-the-art, multidisciplinary approach: we perform in vivo neural activity recordings and manipulation experiments in ethologically-relevant behavioural tasks in mice, and combine these with molecular, cellular and circuit-level analyses in vitro (for details see: https://brain.mpg.de/stempel).
Your profile. We are looking for an enthusiastic and innovative student with a keen interest in neuroethological approaches to systems neuroscience and strong quantitative skills. You hold an excellent Master’s degree (or equivalent) in Neuroscience or a related field (e.g. biology, physics, computer science, engineering, maths). A basic knowledge of neuroscience is preferable but not required. In exceptional cases, a BSc degree in a relevant field may be sufficient.
The successful candidate will have a track record of academic and research excellence and will be fluent in written and spoken English. Experience with experimental and data analysis techniques relevant to our research program will be a plus. We are especially encouraging students with prior experience in electrophysiological recordings and programming to apply.
How to apply. We look forward to receiving your application as one PDF-document including a letter of motivation (one page: including research experiences and future career plans), CV, Master's degree certificate and trannoscript, Bachelor's degree certificate and trannoscript.
This call will be open until the position is filled.
For further information, and to submit your application, please contact: Dr. Vanessa Stempel (vanessa.stempel@brain.mpg.de).
✔️ @ApplyTime
_______________________________
Dr. Vanessa Stempel
Max Planck Research Group Leader
Max Planck Institute for Brain Research
Max-von-Laue-Str. 4
60438 Frankfurt, Germany
A fully funded PhD position is available in our research group “Instinctive Behaviour Circuits”, headed by Dr. Vanessa Stempel.
About the lab. Our goal is to identify canonical neuronal computations and plasticity mechanisms that impart flexibility to instinctive behaviours. To answer these questions, we use a state-of-the-art, multidisciplinary approach: we perform in vivo neural activity recordings and manipulation experiments in ethologically-relevant behavioural tasks in mice, and combine these with molecular, cellular and circuit-level analyses in vitro (for details see: https://brain.mpg.de/stempel).
Your profile. We are looking for an enthusiastic and innovative student with a keen interest in neuroethological approaches to systems neuroscience and strong quantitative skills. You hold an excellent Master’s degree (or equivalent) in Neuroscience or a related field (e.g. biology, physics, computer science, engineering, maths). A basic knowledge of neuroscience is preferable but not required. In exceptional cases, a BSc degree in a relevant field may be sufficient.
The successful candidate will have a track record of academic and research excellence and will be fluent in written and spoken English. Experience with experimental and data analysis techniques relevant to our research program will be a plus. We are especially encouraging students with prior experience in electrophysiological recordings and programming to apply.
How to apply. We look forward to receiving your application as one PDF-document including a letter of motivation (one page: including research experiences and future career plans), CV, Master's degree certificate and trannoscript, Bachelor's degree certificate and trannoscript.
This call will be open until the position is filled.
For further information, and to submit your application, please contact: Dr. Vanessa Stempel (vanessa.stempel@brain.mpg.de).
✔️ @ApplyTime
_______________________________
Dr. Vanessa Stempel
Max Planck Research Group Leader
Max Planck Institute for Brain Research
Max-von-Laue-Str. 4
60438 Frankfurt, Germany
brain.mpg.de
Vanessa Stempel
👍1
Fully funded PhD Fellowships at INSAIT
The Institute for Computer Science, Artificial Intelligence, and Technology (INSAIT), created in partnership with ETH Zurich and EPFL, seeks candidates for Ph.D. Positions in Computer Science and Artificial Intelligence with Full 5-year Fellowships.
INSAIT is the first research institute in computer science and artificial intelligence located in Eastern Europe whose mission is to become one of the world's leading research and innovation powerhouses. At INSAIT, students benefit from:
Mentorship by top professors from world-class universities such as MIT, CMU, ETH Zurich, Yale, EPFL.
Outstanding working conditions that provide the freedom to think and the space to learn and grow, with a compensation of €36,000 / year gross.
Rolling admission process, accepting PhD applications at any point during the academic year.
To apply, students must hold a B.Sc. or a M.Sc. degree (or be within the last year of completing either) in computer science, data science, mathematics, physics, statistics, or electrical engineering. We welcome all excellent candidates with a strong academic background who are keen on conducting world-class research in the general field of AI and computer science.
INSAIT is a strong proponent of diversity in science, and as such, we strongly welcome applications from all under-represented groups in the field.
When ready to apply, go to: https://insait.ai/phd/
Best regards,
Boriana Shalyavska
Head of Academic Admissions and Relations
https://insait.ai/
The Institute for Computer Science, Artificial Intelligence, and Technology (INSAIT), created in partnership with ETH Zurich and EPFL, seeks candidates for Ph.D. Positions in Computer Science and Artificial Intelligence with Full 5-year Fellowships.
INSAIT is the first research institute in computer science and artificial intelligence located in Eastern Europe whose mission is to become one of the world's leading research and innovation powerhouses. At INSAIT, students benefit from:
Mentorship by top professors from world-class universities such as MIT, CMU, ETH Zurich, Yale, EPFL.
Outstanding working conditions that provide the freedom to think and the space to learn and grow, with a compensation of €36,000 / year gross.
Rolling admission process, accepting PhD applications at any point during the academic year.
To apply, students must hold a B.Sc. or a M.Sc. degree (or be within the last year of completing either) in computer science, data science, mathematics, physics, statistics, or electrical engineering. We welcome all excellent candidates with a strong academic background who are keen on conducting world-class research in the general field of AI and computer science.
INSAIT is a strong proponent of diversity in science, and as such, we strongly welcome applications from all under-represented groups in the field.
When ready to apply, go to: https://insait.ai/phd/
Best regards,
Boriana Shalyavska
Head of Academic Admissions and Relations
https://insait.ai/
INSAIT
PhD at INSAIT | INSAIT
👍1
Postdoc position (m/f/x) on engineering the membrane electron transport pathway in Synechocystis, Helmholtz-Centre for Environmental Research GmbH UFZ, Germany
Research Associate/Fellow in Dementia and Hearing Loss (Fixed term, Part time), University of Nottingham, UnitedKingdom
Postdoctoral Research Fellow (Low-Power, High-Speed Flexible and Printed Electronics), Tampere University, Finland
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
KTP Associate – Research Data Scientist (fixed term), University of Nottingham, UnitedKingdom
Scientific member of staff / (m/f/d) Development and micro-integration of micromechanical-optical setups for atom-based quantum sensors - 36/22, Ferdinand-Braun-Institut, Leibniz-Institut fuer Hoechstfrequenztechnik (FBH), Germany
Research Scientist in Cement and Binder Chemistry, VTT, Finland
Research professor in plant genomics, Natural Resources Institute Finland (Luke), Finland
Scientist - Integrated Photonics Design (f/m/d), Silicon Austria Labs (SAL), Austria
PhD Student - Department of Electronics and Information Systems, Ghent University, Belgium
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
Research Associate/Fellow in Dementia and Hearing Loss (Fixed term, Part time), University of Nottingham, UnitedKingdom
Postdoctoral Research Fellow (Low-Power, High-Speed Flexible and Printed Electronics), Tampere University, Finland
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
KTP Associate – Research Data Scientist (fixed term), University of Nottingham, UnitedKingdom
Scientific member of staff / (m/f/d) Development and micro-integration of micromechanical-optical setups for atom-based quantum sensors - 36/22, Ferdinand-Braun-Institut, Leibniz-Institut fuer Hoechstfrequenztechnik (FBH), Germany
Research Scientist in Cement and Binder Chemistry, VTT, Finland
Research professor in plant genomics, Natural Resources Institute Finland (Luke), Finland
Scientist - Integrated Photonics Design (f/m/d), Silicon Austria Labs (SAL), Austria
PhD Student - Department of Electronics and Information Systems, Ghent University, Belgium
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
PhD Student - Department of Electronics and Information Systems, Ghent University, Belgium
Doctoral fellow - Department of Electronics and Information Systems, Ghent University, Belgium
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
Doctoral fellow - Department of Electronics and Information Systems, Ghent University, Belgium
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
Postdoc and senior scientist positions in ML and statistical genetics for neuropsychiatric disease
I have open postdoc and senior scientist positions to work on a National Institute of Mental Health funded project to develop latent factor and network models of neuropsychiatric disease genetics. This multidisciplinary project is a collaboration with Dr. Niamh Mullins at the Icahn School of Medicine at Mount Sinai, an expert in neuropsych genetics and member of the Psychiatric Genomics Consortium.
My lab is joint between the New York Genome Center (NYGC) and Columbia University Computer Science and Systems Biology. We develop probabilistic ML and DL methods for genetics and genomics applications. Beyond this specific project there are opportunities for collaboration with diverse genomics research groups at NYGC and the rich ML/AI community at Columbia and across NYC more broadly.
Official job postings are here (but feel free to email me directly if you are interested!)
Staff Scientist (machine learning and statistical genetics), Knowles Lab
Postdoctoral researcher (machine learning and statistical genetics), Knowles Lab
--
David A. Knowles (he/him/his), PhD.
Core Faculty Member, New York Genome Center.
Assistant Professor, Computer Science, Columbia University.
Interdisciplinary Appointee, Systems Biology, Columbia University.
Affiliate Member, Data Science Institute, Columbia University.
https://daklab.github.io/
✔️ @ApplyTime
I have open postdoc and senior scientist positions to work on a National Institute of Mental Health funded project to develop latent factor and network models of neuropsychiatric disease genetics. This multidisciplinary project is a collaboration with Dr. Niamh Mullins at the Icahn School of Medicine at Mount Sinai, an expert in neuropsych genetics and member of the Psychiatric Genomics Consortium.
My lab is joint between the New York Genome Center (NYGC) and Columbia University Computer Science and Systems Biology. We develop probabilistic ML and DL methods for genetics and genomics applications. Beyond this specific project there are opportunities for collaboration with diverse genomics research groups at NYGC and the rich ML/AI community at Columbia and across NYC more broadly.
Official job postings are here (but feel free to email me directly if you are interested!)
Staff Scientist (machine learning and statistical genetics), Knowles Lab
Postdoctoral researcher (machine learning and statistical genetics), Knowles Lab
--
David A. Knowles (he/him/his), PhD.
Core Faculty Member, New York Genome Center.
Assistant Professor, Computer Science, Columbia University.
Interdisciplinary Appointee, Systems Biology, Columbia University.
Affiliate Member, Data Science Institute, Columbia University.
https://daklab.github.io/
✔️ @ApplyTime
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
Research Technician for the Atomistic Simulation of Interfaces in Battery Materials, BCAM - Basque Center for Applied Mathematics, Spain
Scientific Member of Staff / PhD student - (m/f/d) - Digital Signal Processing & RF Circuit Design - 37/22, Ferdinand-Braun-Institut, Leibniz-Institut fuer Hoechstfrequenztechnik (FBH), Germany
Postdoc – Optimization of the Reactor Architectures for the Electrochemical Reduction of CO₂, Forschungszentrum Jülich GmbH, Germany
Research Technician on metaheuristic optimization of solid state materials, BCAM - Basque Center for Applied Mathematics, Spain
Postdoctoral Fellowship in Atomistic Simulation of Steels in Hydrogen – Rich Environments, BCAM - Basque Center for Applied Mathematics, Spain
Research Technician in machine learning and applications – IA4TES, BCAM - Basque Center for Applied Mathematics, Spain
PhD fellowships in applied information technology, Kristiania University College, Norway
Academic expert in Imaging (f/m/d) CEPLAS - Cluster of Excellence on Plant Sciences, University of Cologne, Germany
Researcher engineer dynamic systems & control, Flanders Make, None
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
Research Technician for the Atomistic Simulation of Interfaces in Battery Materials, BCAM - Basque Center for Applied Mathematics, Spain
Scientific Member of Staff / PhD student - (m/f/d) - Digital Signal Processing & RF Circuit Design - 37/22, Ferdinand-Braun-Institut, Leibniz-Institut fuer Hoechstfrequenztechnik (FBH), Germany
Postdoc – Optimization of the Reactor Architectures for the Electrochemical Reduction of CO₂, Forschungszentrum Jülich GmbH, Germany
Research Technician on metaheuristic optimization of solid state materials, BCAM - Basque Center for Applied Mathematics, Spain
Postdoctoral Fellowship in Atomistic Simulation of Steels in Hydrogen – Rich Environments, BCAM - Basque Center for Applied Mathematics, Spain
Research Technician in machine learning and applications – IA4TES, BCAM - Basque Center for Applied Mathematics, Spain
PhD fellowships in applied information technology, Kristiania University College, Norway
Academic expert in Imaging (f/m/d) CEPLAS - Cluster of Excellence on Plant Sciences, University of Cologne, Germany
Researcher engineer dynamic systems & control, Flanders Make, None
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
Postdoctoral Researcher in Cartography/Geovisualization, ETH Zurich, Switzerland
Research Assistant - Transportation (Prof. Bausch) - Pos. 2, Free University of Bozen - Bolzano, Italy
Research Assistant - Transportation (Prof. Bausch), Free University of Bozen - Bolzano, Italy
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Research Assistant - Transportation (Prof. Bausch) - Pos. 2, Free University of Bozen - Bolzano, Italy
Research Assistant - Transportation (Prof. Bausch), Free University of Bozen - Bolzano, Italy
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Doctoral student in Health and Care Science, Jönköping University, Sweden
Doctoral student in Health and Care Science, Jönköping University, Sweden
Post-doctoral researcher in fluid mechanics, LUT University, Finland
PhD and postdoc positions in molecular-ion quantum technologies for precision spectroscopy and chemical dynamics at the University of Basel (Switzerland), University of Basel, Switzerland
PhD position: Conformationally Controlled Chemistry in the Gas Phase at the University of Basel (Switzerland), University of Basel, Switzerland
PhD Student - Department of Telecommunications and Information Processing, Ghent University, Belgium
PhD position – Precision biomanufacturing of hierarchical joint implants, KU Leuven, Belgium
Principal Computer Scientist (Tree of Life Assembly), Wellcome Sanger Institute, UnitedKingdom
Researcher EUV Lithography and Imaging, imec, Belgium
Postdoc position KU Leuven (ERC Advanced Grant E-DUALITY), KU Leuven, Belgium
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Doctoral student in Health and Care Science, Jönköping University, Sweden
Post-doctoral researcher in fluid mechanics, LUT University, Finland
PhD and postdoc positions in molecular-ion quantum technologies for precision spectroscopy and chemical dynamics at the University of Basel (Switzerland), University of Basel, Switzerland
PhD position: Conformationally Controlled Chemistry in the Gas Phase at the University of Basel (Switzerland), University of Basel, Switzerland
PhD Student - Department of Telecommunications and Information Processing, Ghent University, Belgium
PhD position – Precision biomanufacturing of hierarchical joint implants, KU Leuven, Belgium
Principal Computer Scientist (Tree of Life Assembly), Wellcome Sanger Institute, UnitedKingdom
Researcher EUV Lithography and Imaging, imec, Belgium
Postdoc position KU Leuven (ERC Advanced Grant E-DUALITY), KU Leuven, Belgium
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Post-doctoral Fellow for the ID32 soft X-ray Beamline, European Synchrotron Radiation Facility (ESRF), France
Research Scientist, Chemical process technologies, VTT, Finland
Epidemiologist (m/f/d), Paul-Ehrlich-Institut, Germany
PhD thesis student ID18, European Synchrotron Radiation Facility (ESRF), France
PhD student - Department of Electronics and Information Systems, Ghent University, Belgium
Doctoral Researcher (Civil Engineering and Architecture), 4-5 positions, Tampere University, Finland
XR Research Programmer, Leiden University, Netherlands
PhD position in synthetic polymer chemistry, Leiden University, Netherlands
Research Associate/Fellow in Cognitive Impairment and Exploitation (Fixed term), University of Nottingham, UnitedKingdom
Research Manager, Mobility and Transport, VTT, Finland
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Research Scientist, Chemical process technologies, VTT, Finland
Epidemiologist (m/f/d), Paul-Ehrlich-Institut, Germany
PhD thesis student ID18, European Synchrotron Radiation Facility (ESRF), France
PhD student - Department of Electronics and Information Systems, Ghent University, Belgium
Doctoral Researcher (Civil Engineering and Architecture), 4-5 positions, Tampere University, Finland
XR Research Programmer, Leiden University, Netherlands
PhD position in synthetic polymer chemistry, Leiden University, Netherlands
Research Associate/Fellow in Cognitive Impairment and Exploitation (Fixed term), University of Nottingham, UnitedKingdom
Research Manager, Mobility and Transport, VTT, Finland
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Junior researcher (doctoral student) in fluid mechanics, LUT University, Finland
Research Coordinator, Vlerick Business School, None
University Assistant (Prae-Doc) (all genders), TU Wien, Austria
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Research Coordinator, Vlerick Business School, None
University Assistant (Prae-Doc) (all genders), TU Wien, Austria
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ESA Research Fellowships in Space Science, The European Space Agency (ESA), Netherlands
Postdoctoral Researcher in Computational Fluid Dynamics, University of Luxembourg, Luxembourg
Research Assistant (PostDoc) - salary grade E13 TV-L Berliner Hochschulen, TU Berlin, Germany
Research Assistant - 0.75 working time - salary grade E13 TV-L Berliner Hochschulen, TU Berlin, Germany
Postdoc position in Immunology, University of Padova, Italy
UAS Academic Associate (doctoral student) in Soil Science and Hydrogeology, School of Engineering and Architecture of Fribourg - HEIA-FR, Switzerland
PhD Research Fellowship in public innovations, Inland Norway University of Applied Sciences (INN University), Norway
Post-doctoral assistant (24605) - Department of Economics, Ghent University, Belgium
Scientist (m/f/d) Battery Materials Characterization, AIT Austrian Institute of Technology, Austria
Research Fellow (fixed term), University of Nottingham, UnitedKingdom
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Postdoctoral Researcher in Computational Fluid Dynamics, University of Luxembourg, Luxembourg
Research Assistant (PostDoc) - salary grade E13 TV-L Berliner Hochschulen, TU Berlin, Germany
Research Assistant - 0.75 working time - salary grade E13 TV-L Berliner Hochschulen, TU Berlin, Germany
Postdoc position in Immunology, University of Padova, Italy
UAS Academic Associate (doctoral student) in Soil Science and Hydrogeology, School of Engineering and Architecture of Fribourg - HEIA-FR, Switzerland
PhD Research Fellowship in public innovations, Inland Norway University of Applied Sciences (INN University), Norway
Post-doctoral assistant (24605) - Department of Economics, Ghent University, Belgium
Scientist (m/f/d) Battery Materials Characterization, AIT Austrian Institute of Technology, Austria
Research Fellow (fixed term), University of Nottingham, UnitedKingdom
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👍1
Postdoctoral position in the area of medical sensors and epidermal bioelectronics, Karolinska Institutet, Sweden
Research Software Engineer (Full Stack) in Participatory Platforms for Digital Democracy and Governance, University of Leeds, UnitedKingdom
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Research Software Engineer (Full Stack) in Participatory Platforms for Digital Democracy and Governance, University of Leeds, UnitedKingdom
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