Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Newcastle University
- Cranfield University
- University of Nottingham
- Loughborough University
- University of Exeter;
- AALTO UNIVERSITY
- Imperial College London;
- KINGS COLLEGE LONDON
- University of Birmingham
- University of Cambridge;
- University of Sheffield
- University of Warwick;
- ;
- Imperial College London
- The University of Edinburgh
- The University of Manchester;
- University of Birmingham;
- University of Exeter
- University of Warwick
- Bangor University
- Brunel University London
- City St George’s, University of London
- Edinburgh Napier University;
- King's College London
- King's College London Department of Engineering
- Lancaster University
- Manchester Metropolitan University;
- Newcastle University;
- Swansea University
- The University of Manchester
- UCL
- UNIVERSITY OF VIENNA
- University of Bristol;
- University of East Anglia
- University of East Anglia;
- University of Glasgow
- University of Hertfordshire
- University of Manchester
- University of Newcastle
- University of Nottingham;
- University of Oxford
- University of Oxford;
- University of Sheffield;
- University of Surrey
- 34 more »
- « less
-
Field
-
hydrological systems. This project will develop a robust modelling framework to simulate future changes in water resources in East England, using a combination of physically-based hydrological modelling tools
-
, and flexible working arrangements ideal for computational and field-integrated PhD research. Methodology You will develop a process-based, spatially explicit population model for European amphibians
-
includes participatory design workshops, simulation-based testing, and opportunities to publish in leading journals. Join our inclusive doctoral community and benefit from advanced training
-
Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD
-
computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
-
proposal is not required, instead upload a copy of the project name as a word file. For queries regarding the application process, please contact pgr.sst.enquire@citystgeorges.ac.uk City, University
-
computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
-
systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language understanding (to interpret instructions), and action generation (to respond), enabling robots
-
, finite element simulations of vibration propagation, and AI-based signal analysis to establish a physics-informed understanding of the relationship between structural behaviour and fall detection accuracy
-
the direction of the project, tailoring the modelling approaches, physical focus areas, or computational strategies to your interests—whether that involves large-scale reservoir simulation, pore-scale physics