Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Exeter
- University of Birmingham
- University of Birmingham;
- University of East Anglia;
- University of East Anglia
- University of Cambridge
- University of Nottingham
- Loughborough University
- The University of Manchester
- University of Sheffield
- ;
- Newcastle University
- The University of Manchester;
- AALTO UNIVERSITY
- Imperial College London
- University of Surrey
- The University of Edinburgh
- University of Cambridge;
- University of Liverpool
- Imperial College London;
- KINGS COLLEGE LONDON
- Loughborough University;
- Newcastle University;
- The Institute of Cancer Research
- University of Leeds
- University of Newcastle
- University of Plymouth;
- University of Warwick
- Bangor University
- Brunel University London
- European Magnetism Association EMA
- King's College London Department of Engineering
- Kingston University
- Manchester Metropolitan University
- Manchester Metropolitan University;
- NORTHUMBRIA UNIVERSITY
- Northumbria University
- Oxford Brookes University
- Swansea University;
- The University of Edinburgh;
- University of Bristol
- University of Essex
- University of Essex;
- University of Exeter;
- University of Glasgow
- University of Glasgow;
- University of Greenwich
- University of Hull
- University of Leeds;
- University of Manchester
- University of Nottingham;
- University of Oxford
- University of Plymouth
- University of Sussex;
- University of Warwick;
- VIN UNIVERSITY
- 47 more »
- « less
-
Field
-
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
-
with inflation). Research training and support grant (RTSG) of £3,000 per year. Funding is available for 4 years. Closes: Open until position filled The overarching aim of this project is to find
-
This project is sponsored by EPSRC, Cranfield University and a consortium led by ETN global. ESPRC will provide stipend (£22,000 per annum) and cover UK fees. The consortium will provide supervision
-
hydrodynamics for novel marine vehicles, including large ships and small AUVs and offshore renewable energy systems including offshore wind. You are expected to perform advanced computational fluid dynamics
-
) under the supervision of Dr Elton Santos, and Dr Nina-Juliane Steinke. This is a joint programme between both institutions, which combine advanced modelling methods (spin dynamics, quantum approaches, AI
-
overcomes the geographic limitations of conventional systems, enabling global scalability and accessibility. Using advanced computational fluid dynamics (CFD) approaches, the project is aimed at advancing
-
increasingly important. The aim of the project is to explore the collaborative dynamics of agents within eCPS, with a specific focus on aligning their behaviours towards achieving sustainability goals. Cranfield
-
, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled
-
The Structural Battery Company, a high-tech manufacturer of EV batteries. Building on Cranfield’s previous APC-funded CERABEV successes using epoxy-based systems with intumescent ceramic phases, this project
-
tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport