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 Southampton
- ; University of Surrey
- ; University of Warwick
- ; Newcastle University
- ; University of Nottingham
- University of Cambridge
- ; The University of Edinburgh
- ; University of Exeter
- ; City St George’s, University of London
- ; Cranfield University
- AALTO UNIVERSITY
- University of Newcastle
- ; Loughborough University
- ; University of Bristol
- ; University of Leeds
- ; University of Sheffield
- Imperial College London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Oxford
- ; University of Strathclyde
- University of Oxford
- ; Brunel University London
- ; University of Cambridge
- ; University of East Anglia
- ; University of Sussex
- Abertay University
- Aston University
- Harper Adams University
- Newcastle University
- The University of Manchester
- University of Bristol
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Edge Hill University
- ; Imperial College London
- ; King's College London
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; University of Greenwich
- ; University of Plymouth
- ; University of Reading
- UCL
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Glasgow
- University of Greenwich
- University of Liverpool
- University of Warwick
- 47 more »
- « less
-
Field
-
| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and
-
invites applications from candidates with a robust foundation in data science, modelling, and/or engineering, and a keen interest in deploying data analysis and artificial intelligence (AI) to solve real
-
aerodynamics will continue to be an important aspect including the improvement of fundamental understanding of complex flow physics as well as advancing aerodynamic methods for industrial design. The overall
-
water basins across HMA. We will simulate future changes in temperature, precipitation, and snowmelt using climate projection models. These projections, combined with hydrological modelling, will allow us
-
clearance level. The Engineering Doctorate Researcher will follow the EngD in Model-Based Systems Engineering Programme. They will be based at NPL. Entry requirements: A minimum of an upper-class honours
-
learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
-
discover therapeutic targets relevant to Welsh populations. You’ll also help translate your computational insights into lab-based validation using experimental models, paving the way for new diagnostics and
-
environmental impacts of digital activities. You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure
-
machine-learning surrogate models capable of delivering near-DFT (density functional theory) accuracy in just a few CPU seconds per structure. This approach will enable the high-throughput screening of tens
-
statistical models (for example principal component analysis) to obtain insights into relationships between physical properties of polysaccharides (composition, molecular weight charge, chain length etcetera