Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- KINGS COLLEGE LONDON
- Imperial College London
- King's College London
- University of London
- Nature Careers
- University College London
- ; University of Exeter
- City University London
- University of Greenwich
- ; Maastricht University
- ; Technical University of Denmark
- Kingston University
- London Institute for Mathematical Sciences
- UNIVERSITY OF GREENWICH
- University College London (UCL)
- 6 more »
- « less
-
Field
-
Researcher; Not currently in receipt of financial support or funding towards any other programme in the UK from any other sources; Meet the English language requirement of the UK HEI; Have a background or a
-
an innovative research programme on decarbonisation within galleries, libraries, archives, and museums, with a focus on Scope 3 emissions. This Fellowship is made possible with support from Getty through its
-
-cell genomics/computer science (AI), neuroscience, vascular biology, developmental biology, cancer biology, immunology, biology/biomedicine, pharmacy, biomedical engineering, or related fields with ample
-
Health Records Research (EHR) Group for an experienced epidemiologist/statistician to join an NIHR-funded programme of research (The INTEGRATE programme) in collaboration with the National Institute
-
. Computational modelling approaches are frequently used alongside experimental research programmes and much of our research crosses traditional boundaries, including the relationship of biodiversity to the health
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
post has arisen to work for 2 years (in the first instance) on a Programme grant joint between UCL, Insititute of Child Health and University of Newcastle entitled INSTINCT-MBINSTINCT MB. The work in the
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
-
-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics