Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- Durham University
- University of Oxford
- KINGS COLLEGE LONDON
- University of Birmingham
- AALTO UNIVERSITY
- University of Glasgow
- Nature Careers
- University of Cambridge
- King's College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Newcastle
- CRANFIELD UNIVERSITY
- Heriot Watt University
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF VIENNA
- University of Nottingham
- University of Sheffield
- ; Technical University of Denmark
- Imperial College London
- Queen's University Belfast
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Liverpool
- University of London
- Aston University
- DURHAM UNIVERSITY
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- UNIVERSITY OF MELBOURNE
- University of Bristol
- University of Exeter
- University of Leicester
- ; Queen Mary University of London
- ; The University of Edinburgh
- ; University of Cambridge
- ; University of Exeter
- Brunel University
- Cardiff University
- Cranfield University
- Medical Research Council
- Nottingham Trent University
- Nuffield College
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF EAST LONDON
- University of Hull
- University of Leeds
- 35 more »
- « less
-
Field
-
of the responsibilities outlined below. Perform research and collect data in the specified area to a high level of competency and quality Maintain a high level of knowledge of the immediate and surrounding literature
-
, to satisfy end-user requirements for performance, size, weight, power and cost. You can expect to see your outputs integrated and used in real-world high Technology Readiness Level systems across a range of
-
, bioinformatics or related discipline Strong computational skills, with expertise in scripting in BASH and either R or Python Experience with analysing complex datasets on high-performance compute clusters A track
-
address this, using high-fidelity simulations to reduce the costs and risks associated with real-world testing. We are seeking two highly-motivated and enthusiastic research assistants to join our team and
-
address this, using high-fidelity simulations to reduce the costs and risks associated with real-world testing. We are seeking a highly-motivated and enthusiastic research assistant to join our team and
-
computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
-
to excellence will help us create high-performance optical components that advance our research goals and commercial partnerships. Who We’re Looking For We seek a talented research fellow with skills and
-
Supervised Machine Learning and Reinforcement Learning. The objective is to significantly enhance battery performance and longevity. While conventional methods rely on either physics-based models or high-level
-
(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
-
Tandem Industry-Academy funded project https://www.vaikuttavuussaatio.fi/en/funded-projects/tandem-industry-academia-tia-seed-2024/ . developing next-generation optical computing technologies for ultra