Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- Newcastle University
- University of East Anglia
- University of Exeter
- Imperial College London;
- University of Exeter;
- The University of Manchester
- University of Cambridge
- University of Cambridge;
- University of Warwick
- Loughborough University
- Swansea University
- The University of Edinburgh;
- UCL
- University of Birmingham;
- University of Sheffield
- Bangor University
- Manchester Metropolitan University;
- University of East Anglia;
- University of Surrey
- ;
- AALTO UNIVERSITY
- Edinburgh Napier University;
- Loughborough University;
- Manchester Metropolitan University
- Swansea University;
- The University of Manchester;
- University of Birmingham
- University of Bradford;
- University of Bristol
- University of Leeds
- University of Nottingham;
- University of Oxford;
- University of Plymouth
- University of Warwick;
- Abertay University
- City St George’s, University of London
- European Magnetism Association EMA
- KINGS COLLEGE LONDON
- King's College London
- Liverpool John Moores University
- Newcastle University;
- Nottingham Trent University
- Oxford Brookes University
- The Open University;
- The University of Edinburgh
- Ulster University
- University of Bristol;
- University of Essex
- University of Hull;
- University of Leeds;
- University of Liverpool
- University of Liverpool;
- University of Oxford
- University of Plymouth;
- University of Reading;
- University of Sheffield;
- University of Surrey;
- University of York;
- 50 more »
- « less
-
Field
-
of reinforcement learning or agent-based systems. LanguagesENGLISHLevelExcellent Research FieldComputer science » Computer systemsYears of Research Experience1 - 4 Additional Information Benefits • Full funding
-
certification, dramatically accelerating innovation cycles. What you will gain: Expertise in Finite Element Analysis, Scientific Machine Learning, Uncertainty Quantification, and Professional Programming
-
shaving/shifting, voltage and frequency support, and virtual inertial response. Due to the volatile and intermittent nature of RESs, in this project, machine learning (ML) methods are used to accurately
-
new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad
-
, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
-
these syndromes occur where and when they do? The student will develop statistical and machine learning models to (i) explain the occurrence of extreme fires and (ii) predict their likelihood under present and
-
the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical
-
, Src). Develop a machine learning platform to predict regulatory mechanisms in dark kinome targets (e.g., PKMYT1, RIOK1/2). Perform biochemical validation, including recombinant protein expression and
-
. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
-
using cutting-edge computational techniques, including machine learning algorithms. Work collaboratively with an interdisciplinary and international team to refine and validate regional wave and ocean