Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- Durham University
- King's College London
- KINGS COLLEGE LONDON
- University of Oxford;
- University of Liverpool
- University of London
- DURHAM UNIVERSITY
- Nature Careers
- University of Cambridge;
- AALTO UNIVERSITY
- Heriot Watt University
- St George's University of London
- UNIVERSITY OF VIENNA
- Aarhus University
- Imperial College London
- Queen Mary University of London;
- University of Liverpool;
- University of Newcastle
- University of York;
- Durham University;
- Imperial College London;
- University of Glasgow
- University of Reading
- ;
- Bournemouth University;
- Cardiff University
- LIVERPOOL JOHN MOORES UNIVERSITY
- Lund University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
- Newcastle University;
- Queen's University Belfast
- Royal College of Art
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Scotland's Rural College (SRUC);
- St George's, University of London;
- University of Birmingham
- University of Dundee;
- University of Hull;
- University of Leicester
- University of Nottingham
- University of Reading;
- University of Southern Denmark
- VIN UNIVERSITY
- jobs.ac.uk
- 36 more »
- « less
-
Field
-
developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
-
deformation at explosive caldera-forming volcanoes. The first objective of the PDRA will be to create a numerical simulation of magma intrusion within a deep magma mush to resolve its impact on surface
-
developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
-
across Oxford, Nanyang Technological University and National University of Singapore studying the reliability of LLMs through the lens of uncertainty quantification (UQ), Bayesian inference, conformal
-
) is developing ML methods supporting the experimental HT workflows and, so far, focused on intelligent design of experiments based on Bayesian Optimisation. The team at Cambridge has its own high
-
or Grant-holder. To assist with the development of research objectives and proposals. To conduct individual and collaborative research projects under the direction of the Principal Investigator or Grant
-
through to large-scale individual-based simulation as well as statistics and Bayesian inference. This highly motivated, collaborative research group leads funded, international consortia in modelling, NTDs
-
clear and accurate manner. To analyse or undertake basic research by deciding how best to apply existing methodology according to overall context and objectives. To deal with problems that may affect the
-
image cross-correlation, particle image velocimetry, feature/object tracking, orthorectification, image segmentation and/or image analysis techniques that may be novel to glaciology (including AI methods
-
. To assist with the development of research objectives and proposals. To conduct individual and collaborative research projects under the direction of the Principal Investigator or Grant-holder. To work with