302 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- UNIVERSITY OF VIENNA
- University of Oxford;
- Durham University
- Nature Careers
- KINGS COLLEGE LONDON
- King's College London
- University of Liverpool
- DURHAM UNIVERSITY
- Heriot Watt University
- AALTO UNIVERSITY
- University of London
- University of Cambridge;
- University of Liverpool;
- Aston University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- St George's University of London
- ;
- LIVERPOOL JOHN MOORES UNIVERSITY
- University of Newcastle
- University of Nottingham
- Imperial College London
- Imperial College London;
- Newcastle University;
- Queen Mary University of London;
- University of Bath
- University of Birmingham
- University of Glasgow
- University of Manchester
- University of Reading
- University of Reading;
- VIN UNIVERSITY
- Aston University;
- Cardiff University
- Durham University;
- Ellison Institute of Technology, Oxford Limited
- European Magnetism Association EMA
- Georgetown University
- King's College London;
- Liverpool School of Tropical Medicine;
- Lund University
- Queen's University Belfast
- Royal College of Art
- Scotland's Rural College (SRUC);
- St George's, University of London;
- The University of Edinburgh
- The University of Edinburgh;
- The University of Manchester;
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF HELSINKI
- University of Dundee;
- University of East London
- University of Glasgow;
- University of Hull;
- University of Lincoln
- 45 more »
- « less
-
Field
-
machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
-
and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
-
their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
-
electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
-
machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
-
improvements in cancer patient care. BCI is also a partner in the CRUK City of London Major Centre (together with UCL, Kings and the Francis Crick Institute) which is a Centre of Excellence in Biotherapeutics
-
visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa. As a valued member of our team, you can expect
-
on the Vector Observatory project (https://www.malariagen.net/vobs/ ). Malaria continues to pose a major global health challenge, and mosquito vectors are central to transmission. The project addresses three
-
, including exoplanet studies, machine learning, cutting-edge radio instrumentation and digital signal processing, citizen science, sky surveys, and studies of transient and variable objects. Listen is deeply
-
, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac