Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; University of Birmingham
- ; University of Nottingham
- ; University of Southampton
- University of Cambridge
- ; University of Warwick
- ; Swansea University
- ; University of Oxford
- ; Loughborough University
- ; Newcastle University
- ; University of Bristol
- ; University of Exeter
- ; University of Reading
- University of Manchester
- ; City St George’s, University of London
- ; University of Surrey
- ; University of Sussex
- University of Sheffield
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Sheffield
- AALTO UNIVERSITY
- Harper Adams University
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Aston University
- ; Lancaster University
- ; University of Cambridge
- ; University of Leeds
- ; University of Strathclyde
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Oxford
- ; Coventry University Group
- ; Durham University
- ; Edge Hill University
- ; King's College London
- ; Manchester Metropolitan University
- ; St George's, University of London
- ; Technical University of Denmark
- ; The Open University
- ; University of Bradford
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Hull
- ; University of Plymouth
- ; University of Portsmouth
- ; University of Stirling
- Abertay University
- Durham University
- Heriot Watt University
- KINGS COLLEGE LONDON
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF SURREY
- University of East London
- University of Liverpool
- University of Newcastle
- University of Warwick
- 52 more »
- « less
-
Field
-
Computational verification of high-speed multi-material flows, where physical experimentation is highly limited, is seen as critical by the defence Sector (source: the UK Atomic Weapons
-
% of their time on teaching/related professional development. Teaching duties will be agreed annually with Programme Directors and tailored to the demonstrator’s expertise and career goals. Applicants will be
-
Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
-
used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
-
fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
-
used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
-
fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
-
should have or expect to achieve, at least a 2:1 (or equivalent) in any engineering degree programme, physics or mathematics. English language requirements: Applicants must meet the minimum
-
, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will
-
and advanced material design and fabrication. Through this multidisciplinary project, the student will develop expertise in: Hands-on experience with advanced computational physics and materials