Sort by
Refine Your Search
-
Employer
- University of Oxford
- Durham University
- University of London
- DURHAM UNIVERSITY
- King's College London
- Kingston University
- University of Manchester
- University of Oxford;
- ;
- Anglia Ruskin University
- Anglia Ruskin University;
- Aston University
- Babraham Institute
- Imperial College London;
- Liverpool School of Tropical Medicine;
- Loughborough University
- Royal College of Art;
- Royal Holloway, University of London;
- The Rosalind Franklin Institute
- University of Cambridge;
- University of Exeter;
- University of Greenwich
- University of Greenwich;
- University of West London
- University of York;
- jobs.ac.uk
- 16 more »
- « less
-
Field
-
new technologies for genetic privacy, a problem requiring molecular and computational systems to be designed together rather than sequentially. The postholder will join an active team developing
-
to help transform our Circular Design Toolbox (CDT) into a commercially available product ready for licensing, pilots & seed investment? The Circular Design Toolbox (CDT) project is funded by the UKRI
-
Fellowship research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging
-
-driven modelling methods for next-generation hydrogen-powered commercial aircraft. This post is one of three postdoctoral positions within the wider Airbus-ATI project developing computational and
-
own computing infrastructure; and, working with subject specialists and curators, designing and validating the first dedicated benchmark suite for evaluating language models on humanities research tasks
-
with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
-
echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans. You will be responsible for the design and testing of original machine-learning based methods for fetal heart
-
combines stakeholder co-design, a national survey of health and social care professionals, six local authority case studies, qualitative interviews and focus groups, integration of quantitative and
-
recognised, assessed, and addressed across health and social care services in England. The study combines stakeholder co-design, a national survey of health and social care professionals, six local authority
-
department in its field, running a globally competitive programme of research and teaching. Botnar Institute for Musculoskeletal Sciences enables and encourages research and education into the causes