Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Birmingham
- University of Nottingham
- Nature Careers
- Imperial College London
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- University of London
- Queen's University Belfast;
- UNIVERSITY OF SURREY
- Cardiff University
- The University of Southampton
- University of Cambridge
- University of Glasgow
- University of Manchester
- London School of Hygiene & Tropical Medicine;
- QUEENS UNIVERSITY BELFAST
- Sheffield Hallam University
- UCL;
- UNIVERSITY OF MELBOURNE
- University of Leeds
- University of Sheffield
- University of Surrey
- University of Surrey;
- ; Technical University of Denmark
- Birmingham City University
- CRANFIELD UNIVERSITY
- CZECH UNIVERSITY OF LIFE SCIENCES
- Durham University
- Edinburgh Napier University;
- King's College London
- Lancaster University
- Nanyang Technological University
- Nottingham Trent University
- University of Aberdeen;
- University of Bradford;
- University of Bristol
- University of Cambridge;
- University of Hull
- University of Leeds;
- University of Lincoln
- University of Liverpool
- University of Newcastle
- University of Nottingham;
- University of Oxford
- University of Stirling
- University of the West of England
- 38 more »
- « less
-
Field
-
modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as ANSYS package
-
relativity. Excellent communication and organisational skills. The ability to work independently and as part of a multidisciplinary and multicultural team. Networking, actively engaging with and valuing other
-
systems, with emphasis on criteria for robustness, reliability, and stability. Topics of interest include the study of symmetries and equivariance and their implementation in deep neural networks
-
, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly motivated, collaborative, interested in technology and interdisciplinary research and willing
-
solid mechanics and fluid mechanics. Proven hands-on experience with code development for computational fluid dynamics or computational solid mechanics using the finite element method. Demonstrable
-
projects. Have an outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code etc. Have a
-
presentations, code etc. Have a proposal which is within the AI in Science research remit and skills which fit the cohort of AI in Science fellows. Fellows will join the Eric and Wendy Schmidt Network
-
outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code etc. Have a proposal which is
-
on research projects. Have an outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code
-
research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python Experience working in a research team Excellent writing and communication skills