Sort by
Refine Your Search
-
Listed
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Birmingham
- Ellison Institute of Technology
- UNIVERSITY OF SOUTHAMPTON
- CRANFIELD UNIVERSITY
- Durham University
- Cranfield University
- Imperial College London
- King's College London
- UNIVERSITY OF MELBOURNE
- University of London
- University of Nottingham
- Francis Crick Institute
- UNIVERSITY OF SURREY
- University of Liverpool
- University of Oxford
- University of Surrey
- University of the West of England
- Daphne Jackson Trust;
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Middlesex University
- Middlesex University;
- Nottingham Trent University
- Nuffield College
- Sheffield Hallam University;
- UCL EE
- UCL;
- University of Birmingham;
- University of Exeter;
- University of Leeds
- University of Leeds;
- University of Oxford;
- University of Surrey;
- University of Sussex;
- 24 more »
- « less
-
Field
-
of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments
-
with the overall programme. This implies perform and support in vivo work using HCC models induced via hydrodynamic gene transfer. You will be selecting and adapting experimental protocols, analysing and
-
foundation performance with renewable thermal energy exchange. Based within the University of Surrey's School of Engineering, the successful candidate will lead the project's computational modelling strand
-
prototype and demonstrate its performance using real battery waste streams. Based within the School of Chemistry and Chemical Engineering and the School of Biosciences at the University of Surrey, you will
-
required to analyse and improve the performance of complex systems. The role offers an opportunity to contribute to high-impact research addressing the UK’s major net-zero challenges while developing
-
prototype and demonstrate its performance using real battery waste streams. Based within the School of Chemistry and Chemical Engineering and the School of Biosciences at the University of Surrey, you will
-
classify social media data (video, audio, text), using high-performance computing environments to develop privacy-preserving analytical pipelines for social media data donation research. Working with Dr
-
the performance of complex systems. The role offers an opportunity to contribute to high-impact research addressing the UK’s major net-zero challenges while developing modelling and optimisation approaches with
-
quantum many-body theory, open quantum systems, or quantum information. Experience with advanced numerical methods for quantum systems, stochastic or phase-space techniques, high-performance computing, and
-
also build your research profile through publications, grants and supervision within a supportive, high performing lab. What you will deliver: Design and execute in vivo functional assays and genetic