617 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Birmingham
- University of Nottingham
- University of Oxford
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of London
- KINGS COLLEGE LONDON
- Nature Careers
- University of Manchester
- King's College London
- UNIVERSITY OF SURREY
- CRANFIELD UNIVERSITY
- Cardiff University
- Brunel University
- Queen's University Belfast
- University of Bristol
- University of Cambridge
- University of Sheffield
- ; Technical University of Denmark
- Aston University
- Imperial College London
- The University of Southampton
- University of Surrey
- Cranfield University
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF MELBOURNE
- City University London
- Kingston University
- Manchester Metropolitan University
- University College London
- University of Glasgow
- University of Leicester
- University of Liverpool
- University of Newcastle
- Plymouth University
- St George's University of London
- Swansea University
- University of Salford
- University of Stirling
- University of Worcester
- University of the West of England
- ; Imperial College London
- ; UCL
- ; University of Aberdeen
- ; University of Cambridge
- ; University of Glasgow
- ; University of Oxford
- ; University of Sussex
- ; University of Warwick
- AALTO UNIVERSITY
- Birmingham City University
- DURHAM UNIVERSITY
- Durham University
- Liverpool John Moores University
- Nottingham Trent University
- Sheffield Hallam University
- University of Exeter
- University of Westminster
- 50 more »
- « less
-
Field
-
research in fundamental & applied AI that is directly relevant to policy. to develop and deliver expert-led training on AI to civil servants across government. Fellows will spend 50% of their time on each
-
are not limited to: network architecture design for NTN and terrestrial network (TN) convergence, intelligent traffic steering algorithms between TN and NTN, orchestration of TN/NTN resources for end-to-end
-
development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
-
Search over Personal Repositories - Secure and Sovereign”). The post is based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating
-
the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience against different interfering systems. Develop, with
-
combining these to explore the possibility of improving outcomes. These algorithms will then be used to develop a prognosis platform. You will investigate different approaches and find novel ways to improve
-
. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
-
, to develop a novel end-to-end neuromorphic design approach based on spiking neural networks (SNNs). The project aims to develop novel computing solutions for the defence and security sector, that can
-
We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
-
model checkers; proofs of safety and/or security properties; programming languages and/or type systems; concurrent and/or distributed algorithms; and related topics. The successful applicant will work in