Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- ; University of Birmingham
- University of Sheffield
- ; University of Southampton
- University of Cambridge
- ; University of Surrey
- ; University of Warwick
- ; University of Exeter
- ; Cranfield University
- ; Newcastle University
- ; University of Nottingham
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; Loughborough University
- ; University of Oxford
- ; University of Sheffield
- Imperial College London
- University of Newcastle
- ; Brunel University London
- ; University of East Anglia
- ; University of Strathclyde
- AALTO UNIVERSITY
- Abertay University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Cambridge
- ; University of Greenwich
- ; University of Leeds
- ; University of Reading
- ; University of Sussex
- Harper Adams University
- University of Oxford
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UCL
- ; University of Bradford
- ; University of Plymouth
- Aston University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Liverpool
- 41 more »
- « less
-
Field
-
the solidarity and cooperation within and between democratic countries. There have been concerns about the use of Generative AI and Large Language Models (LLMs) as tools for the dissemination of disinformation and
-
on modelling and testing of new reactors with a view to optimising the best systems for mixing supercritical water (>378o C and 221 bar) with wastewater feed streams. This needs to generate residence times
-
of developing a computational model to simulate hydro-sedimentary dynamics and morphology between restored patches to explore conditions favourable for restoration. Validated with data on vegetation cover and
-
benchmarking (Frank et al., arXiv:2024) using blind testing approaches. The student will develop verification-based benchmarking approaches for digital quantum computers with realistic noise models, leading
-
objective is to find the best way to embed simple partial differential equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new
-
well as across the full life cycle. Expected Outcomes Development of aircraft energy consumption model(s) Adaptation and application of the model for different fuels and/or propulsion systems, and for different
-
, and 2) to develop a physical model of cell shape dynamics during EMT. You should hold a PhD (or about to be awarded a PhD) in Biophysics or a related field and have extensive experience with cell and
-
Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
-
analysis and there is scope for modelling of the swimmers. The ideal candidate will have a passion for interdisciplinary research at the intersections of physics and biology. Due to the requirements
-
. The project delves into areas such as hardware-based security measures, tamper detection, and the integration of explainable AI models within embedded platforms. Situated within the esteemed IVHM Centre and