Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- University of Cambridge
- Durham University
- University of London
- AALTO UNIVERSITY
- King's College London
- DURHAM UNIVERSITY
- Heriot Watt University
- University of Liverpool
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Glasgow
- ; University of Oxford
- ; Technical University of Denmark
- Imperial College London
- Nature Careers
- Swansea University
- ; Queen Mary University of London
- ; Royal Holloway, University of London
- ; The University of Manchester
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Dundee
- ; University of Kent
- Aston University
- Birmingham City University
- Manchester Metropolitan University
- Sheffield Hallam University
- St George's University of London
- University of Hull
- University of Leicester
- University of Lincoln
- University of Manchester
- University of Reading
- University of West London
- 27 more »
- « less
-
Field
-
Agency (ARIA). The PROTECT project (Probabilistic Forecasting of Climate Tipping Points) brings together cutting-edge AI, statistical, and machine learning techniques with climate modelling, aiming
-
In Vitro Predictive Models to Explore Tendinopathy”. The project is funded by the Medical Research Council (MRC) and part of the organ-chip research work underway within the Centre for Predictive in
-
form, how it is generated and how it evolves. In particular we focus on the evolution and evolvability of vertebral counts, and we use various species of Lake Malawi cichlids as our model organism
-
) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
-
, Oxford, Leeds, Reading, and Birmingham) and international (Utrecht University, ETH Zurich, Université Catholique de Louvain, etc.) scientists to use new modelling resources and methods to elucidate drivers
-
, and enabling data-driven improvements in patient care. You will have opportunities to apply foundation models—including large language models (LLMs) to real-world clinical data. You will work with well
-
the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g
-
, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability evaluations, attacks
-
Professor Chris Russell. This is an exciting opportunity for you to work at the cutting edge of AI, contributing to a major shift in how we understand and apply foundation models. The position is full-time
-
, bringing together complementary expertise in cancer biology, RNA therapeutics, and tumour immunology. As part of this role, you will focus on modelling rhabdomyosarcoma using advanced tumour cell lines and