Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- Cranfield University
- University of Cambridge
- ; The University of Manchester
- ; University of Birmingham
- University of Manchester
- ; Swansea University
- ; University of Nottingham
- University of Sheffield
- ; Newcastle University
- ; University of Exeter
- ; University of Southampton
- University of Oxford
- ; University of Surrey
- University of Warwick
- ; The University of Edinburgh
- ; University of Warwick
- Harper Adams University
- ; Cranfield University
- University of Newcastle
- ; University of Oxford
- ; University of Sheffield
- UNIVERSITY OF VIENNA
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Cambridge
- AALTO UNIVERSITY
- Newcastle University
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; King's College London
- ; University of Bristol
- ; University of Leeds
- ; University of Strathclyde
- Imperial College London
- The University of Manchester
- University of Liverpool
- ; Edge Hill University
- ; Manchester Metropolitan University
- ; University of Plymouth
- Abertay University
- University of Bristol
- ; Imperial College London
- ; Lancaster University
- ; UWE, Bristol
- ; University of Reading
- ; University of Sussex
- Aston University
- Brunel University
- Heriot Watt University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; The Open University
- ; UCL
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Hull
- ; University of Kent
- ; University of Stirling
- Durham University
- Heriot-Watt University;
- KINGS COLLEGE LONDON
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Nature Careers
- Nottingham Trent University
- Oxford Brookes University
- Swansea University
- The University of Manchester;
- UCL
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- University of Birmingham;
- University of Cambridge;
- University of Glasgow
- University of Greenwich
- University of Hertfordshire
- University of Leicester
- University of London
- University of Nottingham;
- University of Plymouth
- 78 more »
- « less
-
Field
-
and e-mail the following to STEM-SPS-PHD@open.ac.uk by the application deadline 19th September 2025 - 17:00. A completed Application form UK if you are classed as a home student . An up to date CV. A
-
Fees for 42 months @ UKRI national minimum rates plus £2K LW Applicants are expected to hold first or upper-second class honours degree (or equivalent) in a relevant discipline. A Postgraduate Masters
-
The project: Motivation The development of hydrogen energy technologies is central to the UK government's ten-point plan for a green industrial revolution, targeting a 40% reduction in gas
-
for the probability of occurrence of FBO responses. Applications are invited for a fully fundedPhD studentship (UK or EU or International) working on the project. The PhD student will join Rolls Royce Computational
-
August 2025. Applications will be considered in the order that they are received, the position will be considered filled when a suitable candidate has been identified. Funding: We offer a range of funding
-
disciplines to contribute to world-changing research in the development and deployment of trustworthy AI. The scholarship programme is part of the University’s internationally recognised Cyber Security Global
-
. Experience in working with large data sets, knowledge of statistics, and some programming expertise is essential. The project is based in ECEHH, at the University of Exeter’s Penryn Campus in Cornwall, and may
-
environments, highlighting potential cross-disciplinary synergies. The outcomes will enhance the security, dependability and trustworthiness of AI applications. The project will be conducted in collaboration
-
filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
-
notebooks, workshop plans, performance reviews, funding applications, etc.), attendance at live performance events, workshops, residencies and interviews. It investigates how these taxonomies can capture and