649 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" Fellowship positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- University of Birmingham
- University of Oxford
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds
- KINGS COLLEGE LONDON
- Nature Careers
- UNIVERSITY OF MELBOURNE
- University of London
- University of Cambridge
- Imperial College London
- King's College London
- Queen's University Belfast
- UNIVERSITY OF SURREY
- CRANFIELD UNIVERSITY
- QUEENS UNIVERSITY BELFAST
- The University of Southampton
- University of Glasgow
- Cardiff University
- University of Bristol
- University of Manchester
- Aston University
- University of Sheffield
- University of Surrey
- ; Technical University of Denmark
- Brunel University
- City University London
- Cranfield University
- University of Newcastle
- ; University of Glasgow
- ; University of Oxford
- Durham University
- Manchester Metropolitan University
- Sheffield Hallam University
- University of Exeter
- University of Hull
- University of Leicester
- University of Liverpool
- University of Stirling
- ; CRUK Scotland Institute
- ; Swansea University
- ; UCL
- ; University of Aberdeen
- ; University of Exeter
- ; University of Warwick
- ; Xi'an Jiaotong - Liverpool University
- AALTO UNIVERSITY
- Birmingham City University
- DURHAM UNIVERSITY
- Kingston University
- Loughborough University
- Nottingham Trent University
- Nuffield College
- Oxford Brookes University
- Plymouth University
- St George's University of London
- Swansea University
- UNIVERSITY OF GREENWICH
- University College London
- University of Greenwich
- University of Lincoln
- University of Worcester
- University of the West of England
- 55 more »
- « less
-
Field
-
This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
-
of classification algorithms Correlate/Integrate In Vivo and Ex Vivo metabolite analysis to understand the key metabolic pathways in different tumour types and subtypes Identify and harmonise MRI and MRS acquisition
-
progression once in post to £48,149 Grade: 7 Full Time, Fixed Term contract up to March 2028 Closing date: 13th August 2025 Background This research project aims to establish the theoretical and algorithmic
-
highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
-
river system Develop, test and apply algorithms for the processing and analysis of satellite data drawing on the latest physics-based and/or data-driven techniques Contribute to work on the automation and
-
. This role will involve developing and applying analysis plans using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant discipline and
-
-leading database of MRI images of childhood tumours and have developed AI approaches to diagnose different types of tumour. To be useful for patients, this needs to be delivered in hospitals in real time
-
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
-
for this role. This role will involve developing and applying analysis plans using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant