Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- Durham University
- KINGS COLLEGE LONDON
- University of London
- University of Cambridge
- UNIVERSITY OF VIENNA
- King's College London
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Heriot Watt University
- Nature Careers
- Aston University
- Imperial College London
- University of Liverpool
- University of Oxford;
- University of Birmingham
- ; University of Cambridge
- Manchester Metropolitan University
- Medical Research Council
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Royal College of Art
- Swansea University
- University of Bath
- University of Manchester
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; University of Copenhagen
- Birmingham City University
- City University London
- European Magnetism Association EMA
- Heriot-Watt University;
- John Innes Centre
- King's College London;
- Lancaster University
- Nottingham Trent University
- Oxford Brookes University
- Technical University of Denmark
- The Royal Veterinary College, University of London;
- University of Cambridge;
- University of Glasgow
- University of Hull
- University of Lincoln
- University of Nottingham
- University of West London
- 35 more »
- « less
-
Field
-
"Mathematical Data Science" research group at the University of Vienna (led by Prof. Dr. Philipp Grohs) and the "Computational Partial Differential Equations" research group at TU Wien (led by Prof. Dr. Michael
-
Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
-
machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
-
at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
-
at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
-
programme as part of the collaborative NINEDTP. The Department’s research strategy is built around five themes: Communities and Social Justice; Health and Social Theory; Higher Education and Social
-
students and over 500 Single Honours undergraduate students. We offer a 3-year BSc degree programme in Biological Sciences and a 4-year MBiol, while also contributing to Natural Sciences. We also run a PGT
-
We invite applications for a Postdoctoral Research Associate to join a research project funded by an EPSRC grant. The position is offered on a fixed-term basis until 31 August 2026, with a maximum duration of ten months (10 months), and is full-time. Reporting to Prof. Gesine Reinert, the post...
-
Trust Career Development award funded research programme “Unlocking the RNA Helicase Code: From Structural Insights to Therapeutic Strategies” led by Dr. Jagtap. The overall project builds upon our novel
-
within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and