Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- Imperial College London
- Nature Careers
- University of Birmingham
- KINGS COLLEGE LONDON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Nottingham
- King's College London
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- University of Leeds
- University of London
- University of Southampton;
- ; University of Oxford
- Brunel University
- CRANFIELD UNIVERSITY
- EMBL-EBI - European Bioinformatics Institute
- Queen's University Belfast
- Queen's University Belfast;
- Technical University of Denmark
- UCL;
- UNIVERSITY OF MELBOURNE
- University of Bath;
- University of Cambridge
- University of Glasgow
- University of Leeds;
- University of Liverpool
- University of Oxford
- University of Plymouth;
- University of Sheffield
- Xi'an Jiaotong - Liverpool University
- 24 more »
- « less
-
Field
-
looking for your next challenge? Do you have a background in machine learning or fluid dynamics and an interest in applying your skills to understand the dynamics of Earth’s fluid core and space-weather
-
/2025 Role Description An exciting opportunity for an established researcher or a recently completed PhD researcher with experience in malacology, epidemiology, data mapping and/or schistosomiasis
-
spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
-
annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
-
relevant PhD and medical degree alongside registration with the GMC at Specialist Registrar Garde or below. You will have a recent track record in histopathology and use of machine learning techniques, and
-
will a have a relevant PhD and medical degree alongside registration with the GMC at Specialist Registrar Garde or below. You will have a recent track record in histopathology and use of machine learning
-
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
-
medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
-
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
-
developing and implementing machine learning/AI solutions using relevant languages and frameworks Excellent communication skills and proven ability to collaborate with diverse stakeholders Technology and