Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Durham University
- University of Oxford
- UNIVERSITY OF VIENNA
- KINGS COLLEGE LONDON
- University of London
- AALTO UNIVERSITY
- University of Cambridge
- King's College London
- Heriot Watt University
- Manchester Metropolitan University
- University of Liverpool
- ; King's College London
- Imperial College London
- ; University of Oxford
- DURHAM UNIVERSITY
- Oxford Brookes University
- Swansea University
- University of Sheffield
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; The Francis Crick Institute
- ; University of Copenhagen
- Aston University
- Birmingham City University
- City University London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
- Nature Careers
- Royal College of Art
- Sheffield Hallam University
- St George's University of London
- University of Bath
- University of Birmingham
- University of Bristol
- University of Hull
- University of Lincoln
- 27 more »
- « less
-
Field
-
networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
-
developing adaptive numerical schemes powered by advanced nonlinear approximations—like Gaussian mixtures and neural networks. The key challenge? Designing robust and stable numerical schemes that remain
-
Design Research Group. Your network and team You will be working as a member of the NODUS Sustainable Design Research Group in the Department of Design, Aalto University, Finland. You will be supervised by
-
like no other. As one of the UK’s leading universities, Durham is an incredible place to define your career. The University is located within a beautiful historic city, home to a UNESCO World Heritage
-
for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a multidisciplinary team Evidence of strong communication and scientific
-
or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision and data mining tools, and be able to work on group software projects using modern
-
the problem of how to build hardware and/or software agents that can autonomously act on our behalf in pursuit of delegated preferences has been studied continually, albeit mostly in the context of classic AI
-
and data mining tools, and be able to work on group software projects using modern tools and environments. Interest in applying AI within the defence and security sectors is essential, but experience in
-
, with expertise both in theoretical methods and in numerical study, and with a particular focus on the application of quantum information driven tools, such as tensor networks or convex relaxations
-
, available for up to 30 months, tenable immediately, to conclude before May 31st 2028. Intelligent agents have a venerable history in AI: since the 1980s the problem of how to build hardware and/or software