Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- UNIVERSITY OF SOUTHAMPTON
- Nature Careers
- UCL;
- University of Birmingham
- KINGS COLLEGE LONDON
- University of Nottingham
- Imperial College London
- King's College London
- Plymouth University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SURREY
- ;
- Queen's University Belfast
- Queen's University Belfast;
- The University of Southampton
- University of Bath;
- University of Exeter
- University of Leeds;
- University of Oxford
- University of Plymouth;
- University of Southampton;
- ; University of Oxford
- CRANFIELD UNIVERSITY
- Cranfield University
- Cranfield University;
- EMBL-EBI - European Bioinformatics Institute
- Technical University of Denmark
- The University of Edinburgh;
- University of Glasgow
- University of Hertfordshire;
- University of Leeds
- University of London
- University of Manchester
- University of Stirling
- University of Stirling;
- 25 more »
- « less
-
Field
-
and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In addition to your research leadership, you will play a
-
postgraduate-level research in Computer Science, Cybersecurity, Information Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, have experience with securing AI
-
-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In
-
postgraduate-level research in Computer Science, Cybersecurity, Information Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, have experience with securing AI
-
Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
-
as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas
-
, data sciences, or a related subject, ideally with a focus on utilising large-scale health/biomedical data and the application of advanced data analysis methods such as machine-learning. Equivalent
-
Jan. 2026, based in the University of Birmingham UK. This position will use further develop the novel AI/machine-learning (ML) approach in Chen et al. (2022 & 2024, Nature Geoscience ) and apply
-
in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
-
testing of machine learning/AI algorithms Integration of radiomic and biological datasets Working closely with Medical Physics colleagues on reviewing recommendations for detection of specific metabolites