Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Sheffield
- ; University of Southampton
- ; University of Warwick
- University of Cambridge
- University of Sheffield
- ; City St George’s, University of London
- ; Cranfield University
- ; Lancaster University
- ; Newcastle University
- ; Swansea University
- ; University of Exeter
- ; University of Nottingham
- ; University of Oxford
- ; University of Reading
- AALTO UNIVERSITY
- University of Newcastle
- ; Aston University
- ; Brunel University London
- ; Edge Hill University
- ; Loughborough University
- ; University of Cambridge
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Plymouth
- ; University of Strathclyde
- ; University of Surrey
- ; University of Sussex
- KINGS COLLEGE LONDON
- University of Manchester
- 25 more »
- « less
-
Field
-
physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals
-
Chemistry, Physics, Chemical Engineering or Material Science. Solid knowledge in Physical Chemistry and Surface Science. Pre-knowledge on programming and Molecular Simulations (MD or MC) are desirable. Only
-
motivated applicant to undertake an original and applied programme of research linked to ongoing work led nationally by the Chartered Institute for the Management of Sport and Physical Activity (CIMSPA
-
called glueballs and the temperature effects of confinement. The project will be based on performing computational simulations and theoretical calculations of QCD. It will involve applying quantum field
-
, into simulation models used for health systems management. The research will provide practical and methodological contributions. The framework will offer healthcare decision-makers better tools for designing
-
digital twins, and life cycle assessment (LCA). A central component of the research will be the development of digital twins to simulate the entire production process, from raw materials to final product
-
Application process To apply for the studentship please click the ‘Apply’ button above to complete the application form and email it with a copy of your CV, two academic references, a copy of passport photo
-
equivalent) in Civil Engineering, Environmental Engineering, Hydrogeology, Geosciences, Environmental Sciences, or related STEM disciplines (e.g., Applied Mathematics, Physics, Computational Sciences
-
a closely related field. A strong background in quantum mechanics, solid-state physics, and computational modeling. Previous experience with density functional theory or many-body physics (beneficial
-
collaborative studentship between the University of Edinburgh and the National Quantum Computing Centre (https://www.nqcc.ac.uk ). The position will be registered and hosted at the University of Edinburgh and