Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; Brunel University London
- ; City St George’s, University of London
- Imperial College London
- ; King's College London
- ; University of Greenwich
- University of East London
- ; Imperial College London
- ; London South Bank University
- ; St George's, University of London
- ; Technical University of Denmark
- ; UCL
- ; University of East London
- KINGS COLLEGE LONDON
- UNIVERSITY OF EAST LONDON
- 5 more »
- « less
-
Field
-
to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine
-
an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
-
(or equivalent) in a biomedical science. Experience in neuroscience and/or immunology is desirable. Project key words Retinal imaging, data-analytics, computer vision, big data Funding The studentship, funded by
-
international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
-
, Computer Sciences or Aerospace Engineering or a related discipline; a Masters degree in these subjects would be of advantage. In addition, applicants should be able to demonstrate an interest across
-
information about the application process, please consult our PhD programme webpage or apply directly by clicking the 'Apply' button, above. Before applying, you should carefully review the research carried
-
in both research and education with other UCL departments, including computer science, engineering, economics, psychology, public policy, statistics and medical sciences. About the role The UCL School
-
allowance pro rata This is a fixed term appointment for 12 months with extension possible subject to Funding. The London School of Economics and Political Science (LSE) is committed to building a diverse
-
Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
-
) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including