Sort by
Refine Your Search
-
Listed
-
Employer
- University of Sheffield
- University of Glasgow
- KINGS COLLEGE LONDON
- DURHAM UNIVERSITY
- Durham University
- Imperial College London
- Nature Careers
- Swansea University
- Ulster University
- ;
- Cardiff University
- Glyndwr University
- Heriot Watt University
- Hult
- King's College London
- Lancaster University
- Loughborough University
- Plymouth University
- Technical University of Denmark
- UCL;
- UNIVERSITY OF SURREY
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Cambridge;
- University of London
- University of Manchester
- 16 more »
- « less
-
Field
-
to modern development workflows and HPC resources, and opportunities to contribute to shared tooling used across the consortium. Applicants should demonstrate recent experience in parallel programming (MPI
-
their PhD studies in parallel. This is an exciting opportunity for Loughborough’s Doctoral Researchers, who are currently in R2 or early R3 of their PhD programme, to gain complementary experience outside
-
a wider range of biological molecules, including volatiles in human breath. In parallel, the Institute is developing state-of-the-art methods that integrate living tissues with synthetic scaffolds
-
these positive early results to develop a range of doped scintillating glass and glass-ceramic monoliths and fibres. The PhD will focus on two parallel objectives: (i) developing multiple glass or glass-ceramic
-
programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries. System software stack
-
of the computing infrastructure that powers both data and computer intensive research. From high-performance computing clusters and parallel storage to data management and automation tools, you’ll help shape and
-
modelling framework developed in Sheffield to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming
-
for the leadership and management of the EPSRC programme grant: Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant, High-Fidelity Simulations (REMODEL). The REMODEL project
-
languages (e.g. C/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical
-
opportunities for better design. AI-driven optimisation offers a promising parallel route forward. Techniques such as Bayesian optimisation have already proven successful in related contexts, such as optimising