Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- University of Cambridge
- University of Sheffield
- ; University of Warwick
- ; University of Exeter
- ; University of Southampton
- ; Newcastle University
- ; University of Nottingham
- ; University of Surrey
- ; Cranfield University
- ; Loughborough University
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Sheffield
- Imperial College London
- ; Brunel University London
- ; University of Cambridge
- ; University of Oxford
- ; University of Sussex
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Newcastle
- University of Oxford
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of East Anglia
- ; University of Greenwich
- ; University of Leeds
- ; University of Plymouth
- ; University of Reading
- ; University of Strathclyde
- Abertay University
- Harper Adams University
- University of Liverpool
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; University of Bradford
- ; University of Copenhagen
- Aston University
- Heriot Watt University
- KINGS COLLEGE LONDON
- University of Glasgow
- Utrecht University
- 43 more »
- « less
-
Field
-
a result of microphase segregation. Low crosslinking regions can be weakly attached to the rest of the paint making them prone to degrade. This project will use state of the art molecular modelling
-
). Access to cutting-edge facilities, including advanced microscopy, controlled environment growth rooms, genomics, proteomics, and metabolomics platforms. Opportunities to work across model and crop species
-
machine structures, together with AI-driven optimization frameworks for diverse applications while considering LCA metrics. The success of this project could serve as a model for other energy-related
-
contribute to ongoing cancer risk modelling projects within the Centre for Cancer Genetic Epidemiology (CCGE), based in the Department of Public Health and Primary Care. They should have a strong understanding
-
, determinants and effects. Dr Irma Malafronte irma.malafronte@roehampton.ac.uk Mitigating Bias in AI Models in health care management. Building customer loyalty in omnichannel retailing/ retail services using
-
intelligence, multi-agent systems, and the design of AI models. They will also acquire transferable skills in interdisciplinary problem-solving and innovation, which will significantly enhance
-
in correctly identifying high acuity cases within an increasing volume of lower acuity calls. This project will use mixed methods to assess the impact of this change. Data modelling and analysis will
-
information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
-
- advocating on behalf of the British defence estate - within UK Parliament. Framed by the sociological theorising of C.Wright Mills, modelled on NCRM Investigative Methods , and building on research by
-
genomes. Dr Karam Teixeira's group uses Drosophila as a model to study transposable element biology, epigenetic regulation and inheritance, small RNA-based defence mechanisms, and germline biology in