281 machine-learning "https:" "https:" "https:" "https:" "The Open University" 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
- University of Liverpool
- KINGS COLLEGE LONDON
- DURHAM UNIVERSITY
- Heriot Watt University
- University of Cambridge;
- AALTO UNIVERSITY
- King's College London
- University of Liverpool;
- Aston University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- St George's University of London
- University of London
- University of Newcastle
- ;
- LIVERPOOL JOHN MOORES UNIVERSITY
- University of Lincoln
- 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
- 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 Canterbury, New Zealand;
- University of Dundee;
- University of East London
- University of Glasgow;
- University of Hull;
- 43 more »
- « less
-
Field
-
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
-
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
-
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
-
and machine learning models. To be successful in this role, you will have excellent communication skills and written English, strong quantitative and analytical skills, the ability to work creatively
-
, 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
-
the sequence of the human genome and the development of common diseases. You will work on a collaborative project that aims to develop Machine Learning and laboratory-based approaches, for decoding how the human
-
language processing, machine learning and skills taxonomies, you will help generate meaningful insights into current and future engineering skills needs. Your work will support industry, policymakers, educators and
-
and Sobolev-type spaces (with Hytönen and/or Korte), Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game
-
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