Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; Swansea University
- ; University of Birmingham
- University of Cambridge
- University of Sheffield
- ; University of Warwick
- ; Newcastle University
- ; University of Nottingham
- ; University of Southampton
- ; University of Oxford
- ; Cranfield University
- ; University of Bristol
- ; University of Exeter
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Sheffield
- ; University of Surrey
- ; City St George’s, University of London
- ; University of Leeds
- ; University of Sussex
- Imperial College London
- University of Oxford
- ; University of Cambridge
- ; University of Reading
- ; University of Strathclyde
- Harper Adams University
- University of Newcastle
- ; Aston University
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Edge Hill University
- ; University of East Anglia
- ; University of Greenwich
- AALTO UNIVERSITY
- Abertay University
- ; Bangor University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Royal Northern College of Music
- ; St George's, University of London
- ; University of Bradford
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Plymouth
- ; University of Portsmouth
- Aston University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Liverpool
- 45 more »
- « less
-
Field
-
Generative machine learning models have made significant progress in recent years. Typical examples include, for example, high-quality image or video generation using diffusion models (e.g
-
promise in understanding disease mechanisms and improving clinical decision-making. Recent studies suggest that generative models can uncover latent structures and improve classifier robustness across
-
limits map which describes the performance of a turbine wheel with respect to the microstructure through simulation and empirical testing. The aim of the project is to develop a modelling and simulation
-
One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour of polycrystalline metals. The post holder will be located in Central Cambridge, Cambridgeshire,...
-
address Dr. Chunwei Xia: c.xia@leeds.ac.uk Co-supervisor’s full name & email address Professor Zheng Wang: z.wang5@leeds.ac.uk Project summary Large Language Models (LLMs) have profoundly transformed
-
Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
-
; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 2 months ago
: Analyse how curation and drying impact mechanical properties and hygrothermal performance. Develop a Predictive Model: Create a computational model linking operational variables and material properties
-
freshwater fishes, structured around the following objectives: Use the LOC to map the freshwater fish distributions in Madagascar, including threatened, invasive and human food species Create predictive models
-
and prosthetic devices in the real-world. This PhD project offers the opportunity to work on pioneering research that combines state of the art computational modelling (deep neural networks) and
-
Research theme: Materials 4.0 No. of positions: 1 Open to: UK applicants This 3.5-year project is funded by the School of Natural Sciences and is available for home students; the successful candidate will receive an annual tax free stipend set at the UKRI rate (£20,780 for 2025/26). Tuition fees...