Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- Nature Careers
- University of Nottingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- CRANFIELD UNIVERSITY
- KINGS COLLEGE LONDON
- King's College London
- The University of Southampton
- University of Bristol
- University of Manchester
- QUEENS UNIVERSITY BELFAST
- University of Leeds
- Brunel University
- Imperial College London
- Manchester Metropolitan University
- Queen's University Belfast
- UNIVERSITY OF MELBOURNE
- University of London
- University of Oxford
- University of Stirling
- ; Technical University of Denmark
- ; UCL
- ; University of Aberdeen
- ; University of Cambridge
- CZECH UNIVERSITY OF LIFE SCIENCES
- Cranfield University
- Oxford Brookes University
- Sheffield Hallam University
- Swansea University
- UNIVERSITY OF SURREY
- University of Liverpool
- University of Newcastle
- University of Salford
- University of Surrey
- 26 more »
- « less
-
Field
-
Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data
-
interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights. Role Summary Lead data
-
this project, leading the computational modelling of charging infrastructure required to meet electric mobility goals. You would work closely with another researcher on the project focussing on associated
-
This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
-
team to lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave
-
We are looking for a motivated and talented postdoctoral-level researcher with experience in executable modelling to join a cutting-edge project developing Digital Twins for rare diseases. This is a
-
quality modelling approaches to analyse the flow interactions between sewer discharge of surface runoff, as well as the dynamics of pollutants and pathogen propagations associated with water movements. The
-
. This interdisciplinary collaboration with the University of Lincoln and University of Liverpool focuses on developing innovative computational approaches that integrate advanced genomic analysis with state-of-the-art
-
strong analytical skills and desirably some computer modelling experience, and an ability to work in a multidisciplinary team and engage confidently with partners. You will have a track record of
-
, computational modelling, psychology. CLOSING DATE: Sunday 22nd June 2025 at 23:55 (BST)