Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ;
- KINGS COLLEGE LONDON
- University of Sheffield
- Imperial College London
- University of Oxford
- University of Glasgow
- AALTO UNIVERSITY
- Cranfield University
- King's College London
- University of Bristol
- University of Cambridge
- Nature Careers
- University of East London
- University of London
- ; Newcastle University
- ; Swansea University
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Birmingham
- ; University of Cambridge
- ; University of East Anglia
- Durham University
- Glyndwr University
- Harper Adams University
- Lancaster University
- Manchester Metropolitan University
- Nottingham Trent University
- Queen's University Belfast
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- Ulster University
- University of Bath
- University of Birmingham
- University of Manchester
- University of Nottingham
- University of Reading
- University of Surrey
- 27 more »
- « less
-
Field
-
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
-
, 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
-
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
-
no guarantee that a concurrent redundant model will return an identical result for basic cross-checking. To overcome these issues AI system developers often resort to running parallel classical-based
-
taking these roles will be employed as part of their general academic development to obtain practical teaching experience and will undertake this work independently but in parallel with postgraduate
-
interest in end of life care, poverty, and/or housing. A parallel post is also being advertised at the University of Hull. By 2040 home is expected to overtake hospitals to become the second most common
-
complex in scenarios like parallel-pass deposition, thin-wall deposition, and off-centre or out-of-position deposition. Additionally, FEA models are focused on thermal conduction in solid medium and often
-
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
-
world. The University has ambitious plans to generate transformative innovation and impact, forge new collaborative relationships and partnerships, and engage across sectors on a global scale. In parallel, all