Sort by
Refine Your Search
-
experimental data effectively to scientists from a range of disciplines. The post is funded by Wellcome Trust and is available as a fixed-term contract for 3 years. If you are interested in this position, and
-
for: • Advancing numerical modelling methodologies, including AI‑assisted surrogate models • Designing and conducting impact experiments for model validation • Developing research proposals and leading individual
-
of reproducing aerodynamic loads in real time for physical experiments. The project combines numerical modelling, data-driven methods, and laboratory experimentation to advance next-generation real-time hybrid
-
uncertainty associated with high renewable penetration in a more systematic and effective way. Specific responsibilities may include: • Developing models (mathematical + software) of existing grid
-
on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
-
by Medical Research Council and is fixed-term for 30 months. This project seeks to harness recent progress to develop innovative human models that better replicate complex pain pathways. We will
-
. About You You will have, or be close to completion of a PhD/DPhil in Statistics, Machine Learning, Data Science, or a related quantitative discipline. You will demonstrate strong specialist knowledge in
-
relevant PhD/DPhil or be near completion, together with relevant experience in the field. Informal enquiries may be addressed to Prof Natalia Ares (email: natalia.ares@eng.ox.ac.uk) For more information
-
Postdoctoral Researcher with expertise in neuromuscular disease research and nucleic acid therapeutics. This position is funded through as non-profit biotechnology initiative which aims to develop personalised
-
of applying them to data. Collaborative endeavours with members of the IPMU and Oxford groups is highly encouraged. You will have the opportunity to teach. Applicants should have a PhD (or close to completion