Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ;
- KINGS COLLEGE LONDON
- University of Oxford
- University of Sheffield
- DURHAM UNIVERSITY
- Durham University
- Imperial College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Edinburgh;
- University of Glasgow
- University of Manchester
- ; University of Southampton
- AALTO UNIVERSITY
- Durham University;
- Heriot Watt University
- King's College London
- London School of Economics and Political Science;
- Medical Research Council
- Northumbria University;
- Technical University of Denmark
- The University of Manchester;
- UCL;
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SURREY
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Greenwich
- University of Lincoln
- University of Surrey
- 19 more »
- « less
-
Field
-
Node consists of five academics and ten PhD students. Our research is supported by a host of experimental facilities and access to state-of-the-art CPU and GPU computing clusters. Experimental facilities
-
/10.1021/jacs.4c01897 ). The new Fortran implementations will further be ported to GPU, either by you (if you are interested in this) or by our collaborators at the CSC supercomputing center. For position 2
-
Experience in organising and analysing human user trials. B9 Experience with a modern machine learning environment, including use of GPU clusters and modern ML tools and JAX. B10 Experience in working with
-
as code” approach to systems automation. You’ll be working across a range of predominately Linux based systems, including HPC and GPU accelerated compute, large-scale and high-performance storage, and
-
be expected to utilise or support the development and enhancement of our fire modelling suite of software, and its deployment on the university HPC & GPU based system. The position is primarily
-
. First, efficient and scalable training procedure are still needed, irrespective of whether the training is done off-line on a traditional GPU-based architecture, on neuromorphic hardware. Second
-
us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of