Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- University of Sheffield
- University of Cambridge
- ; University of Exeter
- ; University of Southampton
- ; University of Surrey
- ; Newcastle University
- ; University of Warwick
- ; City St George’s, University of London
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Oxford
- University of Newcastle
- ; Loughborough University
- ; University of Nottingham
- ; University of Sheffield
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Oxford
- ; University of Cambridge
- ; University of Strathclyde
- AALTO UNIVERSITY
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Edge Hill University
- ; University of East Anglia
- ; University of Leeds
- ; University of Reading
- ; University of Sussex
- Abertay University
- Harper Adams University
- University of Bristol
- 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 Greenwich
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Plymouth
- Aston University
- KINGS COLLEGE LONDON
- Nature Careers
- Newcastle University
- Newcastle University;
- Oxford Brookes University
- The University of Manchester
- The University of Manchester;
- UCL
- University of Cambridge;
- University of Glasgow
- University of Greenwich
- University of Plymouth
- University of Warwick
- 55 more »
- « less
-
Field
-
how variations in mould structure, porosity, and surface characteristics affect radiative heat transfer and casting performance. Phase-field modelling will also be used to simulate defect formation and
-
recovery in critical applications, including aerospace, healthcare, and industrial automation. Research Focus Areas: Predictive Analytics for Fault Detection: Develop AI models that predict potential system
-
modelling to provide a robust framework for integrating nature-based solutions into SO management. This can alleviate the pressure on treatment infrastructure and reduce dependence on grey infrastructure
-
season properties (e.g. number, intensity) for lead times ranging from one to approximately six months in the latest generation of dynamical seasonal and decadal forecast models. Seasonal forecasts
-
process, and this process itself can impede certain policy. This project involves summarising models of political choice (e.g. the median voter, probabilistic voting, citizen candidate, etc models) with a
-
, structural equation modelling, visualisation, preferably in R Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental
-
satellites, with the potential for travel to test instrumentation in ideal locations. Additionally, the simulation work will focus on developing computational models to validate instrumentation and optimising
-
7: C9 A comprehensive and up-to-date knowledge of current issues and future directions within the wider subject area or subject specialism. C10 Knowledge of project specific technical models
-
comprehensive model of what tranquillity is, the factors that influence it and how to design for it. Attention to design contexts and design processes will be key to ensuring that useful measurements, methods and
-
vulnerabilities. Frontier models show superior performance when combined with a focused knowledge base and multi-agent architectures. However, in most cases human involvement is still required, and fully autonomous