Sort by
Refine Your Search
-
Listed
-
Employer
- University of Sheffield
- University of Glasgow
- KINGS COLLEGE LONDON
- DURHAM UNIVERSITY
- Durham University
- Imperial College London
- King's College London
- Nature Careers
- Swansea University
- Ulster University
- ;
- Cardiff University
- Glyndwr University
- Heriot Watt University
- Hult
- 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
-
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
-
application, developed through parallel funding. The project sits at the intersection of Life and Health Sciences and Software/Cyber innovation, aligning with Northern Ireland’s strategic goals for Med-Tech
-
parallel with an extensive programme of clinical research. Facilities currently include two cyclotrons, radiochemistry labs, three PET-CT scanners and a PET-MR scanner. We have recently installed two state
-
parallel with an extensive programme of clinical research. Facilities currently include two cyclotrons, radiochemistry labs, three PET-CT scanners and a PET-MR scanner. We have recently installed two state
-
. Proficiency in statistical methods, programming (including Linux), and use of high-performance computing clusters and parallel computation is expected, along with a clear research vision to enhance the Unit’s
-
computational, molecular and biophysical techniques. During the project you will design the methodology for, and perform the directed evolution of H-transfer enzymes using parallel selection methods, measure
-
.-Prof. Dipl.-Ing. Dr. Siegfried Benkner, focuses on research in programming paradigms, languages, compilers and software infrastructures for scientific computing to support users in the process of solving
-
: Nonlinear dynamical systems modelling Large-scale simulations and high-performance computing Parallel programming and optimisation techniques These are high-value skills with applications across academia
-
and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries