Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- Newcastle University
- The University of Manchester
- University of Sheffield
- University of East Anglia
- Loughborough University
- University of East Anglia;
- University of Cambridge
- AALTO UNIVERSITY
- University of Birmingham
- University of Birmingham;
- University of Newcastle
- ;
- ; University of Exeter
- ; University of Southampton
- ; University of Surrey
- KINGS COLLEGE LONDON
- The University of Edinburgh
- The University of Manchester;
- University of Bristol
- University of Cambridge;
- University of Exeter
- ; City St George’s, University of London
- ; Swansea University
- Durham University;
- Loughborough University;
- The Institute of Cancer Research
- University of Glasgow
- University of Leeds
- University of Nottingham;
- University of Oxford
- University of Sheffield;
- University of Surrey
- ; Coventry University Group
- ; Imperial College London
- ; Loughborough University
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Plymouth
- Abertay University
- Bangor University
- Brunel University London
- Coventry University Group;
- Harper Adams University
- Imperial College London
- King's College London
- King's College London Department of Engineering
- Manchester Metropolitan University
- Manchester Metropolitan University;
- NORTHUMBRIA UNIVERSITY
- Newcastle University;
- Oxford Brookes University
- Queen Mary University of London
- The University of Edinburgh;
- UCL
- UNIVERSITY OF VIENNA
- University of Glasgow;
- University of Greenwich
- University of Liverpool
- University of London
- University of Strathclyde;
- University of Sussex;
- University of Warwick
- University of Warwick;
- 55 more »
- « less
-
Field
-
the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
-
, requiring large computational effort to assess and study system stability. This is becoming even more challenging under increasing complexity requiring detailed dynamical models and with new dynamic phenomena
-
of childhood cancer death. You will work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme
-
comprehensive laboratory grinding tests on various rail grades to train and validate the ML model. Utilise numerical modelling to establish acceptable thresholds for surface quality metrics, such as the 'white
-
computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
-
, understand, characterise, and model the effect of surface roughness on wall turbulence when out of equilibrium. Particular emphasis will be made on determining if any form of flow similarity exists across
-
, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
-
create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a
-
: adapting existing models of bird movement and migration to test hypotheses about the ecological processes shaping observed connectivity patterns. Identify species and populations that have the highest
-
Thrive Global and two international partners in the United States and Sweden have been funded to deliver a new research programme, titled Collective Action for Race Equity in Health and Social Care (CARE