Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- KINGS COLLEGE LONDON
- University of Sheffield
- ;
- Imperial College London
- University of Glasgow
- AALTO UNIVERSITY
- Cranfield University
- King's College London
- University of Bristol
- University of Cambridge
- University of Oxford
- ; King's College London
- ; Newcastle University
- ; Swansea University
- ; The University of Edinburgh
- ; University of East Anglia
- Durham University
- Harper Adams University
- Heriot Watt University
- Lancaster University
- Manchester Metropolitan University
- Nature Careers
- Nottingham Trent University
- UNIVERSITY OF SOUTHAMPTON
- Ulster University
- University of Bath
- University of Birmingham
- University of London
- University of Nottingham
- University of Reading
- 20 more »
- « less
-
Field
-
High-Performance Computing is entering a revolutionary phase characterised by Exascale capabilities, with step-changes in technology enabling numerically intensive processes to answer outstanding
-
treatment throughout the recruitment process. We will make adjustments to support the interview process wherever it is reasonable to do so and, where successful, reasonable adjustments will be made to support
-
of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
-
learning for policy optimisation, all within a huge GPU-based simulation with thousands of robots learning synchronously in parallel. The best solutions will then be 3D-printed, and policies will be fine
-
with thousands of robots learning synchronously in parallel. In particular, you will take a leading role in creating the simulation environment, 3D printing promising robot hand designs, and setting up a
-
, informed by data-driven insights and user research. This platform, in parallel with the University’s Student & Staff Portal (MyEd), are using open-source software, highlighting the commitment
-
with programme ideas moving into the development stage. This work runs in parallel to the launch of a revised SSPP Strategy 2030, Shaping Global Change. SSPP is also launching a Methods Centre and a
-
coming Autumn term 2025. As Demonstrator you will teach on 1 or more modules - Analytical Foundations of Data Science, Advanced Cloud Computing, Analytics Tools for Data Science, Computer Networking, Data
-
experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
-
with programme ideas moving into the development stage. This work runs in parallel to the launch of a revised SSPP Strategy 2030, Shaping Global Change. SSPP is also launching a Methods Centre and a