Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Nottingham
- University of Oxford
- University of Birmingham
- UNIVERSITY OF SOUTHAMPTON
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Leeds
- KINGS COLLEGE LONDON
- University of London
- UNIVERSITY OF MELBOURNE
- Imperial College London
- King's College London
- Queen's University Belfast
- UNIVERSITY OF SURREY
- CRANFIELD UNIVERSITY
- University of Bristol
- University of Manchester
- Brunel University
- Cardiff University
- The University of Southampton
- University of Cambridge
- QUEENS UNIVERSITY BELFAST
- University of Sheffield
- University of Glasgow
- ; University of Cambridge
- City University London
- University of Surrey
- ; Technical University of Denmark
- Kingston University
- Manchester Metropolitan University
- Sheffield Hallam University
- University of Liverpool
- University of Newcastle
- ; University of Glasgow
- Aston University
- Cranfield University
- University College London
- University of Hull
- University of Leicester
- University of Salford
- University of Stirling
- University of the West of England
- ; Maastricht University
- ; UCL
- ; University of Aberdeen
- ; University of Sussex
- ; University of Warwick
- AALTO UNIVERSITY
- Birmingham City University
- Durham University
- Nottingham Trent University
- Nuffield College
- Plymouth University
- St George's University of London
- Swansea University
- UNIVERSITY OF GREENWICH
- University of Greenwich
- University of Worcester
- 49 more »
- « less
-
Field
-
algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
-
applications for monitoring and managing aquatic environments under study, the Mekong river delta and the Forth river system Develop, test and apply algorithms for the processing and analysis of satellite data
-
. The successful applicant will use state of the art inference algorithms to design, use and share the findings of epidemiological models that integrate across large and diverse datasets including capture-mark
-
responsibilities Research: Contribute to or lead on the statistical aspects of the development of high quality research bids to evaluate the effectiveness of new health technologies, which is recognised both
-
based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
-
a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience against different interfering systems. Develop, with colleagues, a spectrum
-
systems on software defined radio (SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide
-
to the development of innovative and sustainable low carbon plastic waste management and recycling solutions. In this project the post holder will develop novel algorithms and methods for analysis of plastic data
-
COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
-
based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing