Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- Durham University
- KINGS COLLEGE LONDON
- University of Cambridge
- University of London
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- Heriot Watt University
- King's College London
- University of Liverpool
- Aston University
- DURHAM UNIVERSITY
- University of Glasgow
- Imperial College London
- Nature Careers
- University of Birmingham
- ; University of Cambridge
- Manchester Metropolitan University
- ; Technical University of Denmark
- ; University of Oxford
- Swansea University
- ; CRUK Scotland Institute
- ; Royal Holloway, University of London
- Birmingham City University
- City University London
- Liverpool John Moores University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nottingham Trent University
- Royal College of Art
- University of Bath
- University of Bristol
- University of Lincoln
- University of Nottingham
- University of West London
- 25 more »
- « less
-
Field
-
computational, a good understanding of practical molecular biology will be important. It is expected that the holder of this post will take a leading role in producing analyses for publication and dissemination
-
Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
-
neurobiology or a strong quantitative preparation with experience in bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed
-
) programme . This is a fixed term position until March 2026. About STARSand HSMA and the work you will be involved with. STARS is an Open Science project that aims to increase the quantity and quality
-
About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
-
, operations research, computer science, mathematical finance, or a related field, the successful candidate will demonstrate the ability to develop independent research ideas and contribute to advancing our
-
conventional boundaries and pursue hypothesis-led science. We will make every effort to support the successful candidate to research independence through the programme, and with training and mentoring
-
on Experimental Study and Computational Solids Mechanics model of soft multifunctional materials such as magneto-active polymers (MAPs), Electro-active polymers (EAPs). The successful candidate will work on the
-
neuroscience, with the aim of improving mental health outcomes in both non-clinical and clinical populations. We are based at the MRC Cognition and Brain Sciences Unit, University of Cambridge, a world-leading
-
largest protein/peptide mimotope dataset foundational for advancing any peptide-based drug discovery programme. The ERC PoC PepVerse project focuses on increasing the technology readiness of this platform