Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Germany
- Netherlands
- Sweden
- Denmark
- Australia
- Portugal
- Spain
- Canada
- Belgium
- Austria
- Singapore
- Switzerland
- Poland
- Morocco
- Czech
- Finland
- Italy
- Norway
- United Arab Emirates
- China
- Luxembourg
- New Zealand
- Europe
- Ireland
- Japan
- Brazil
- Bulgaria
- Israel
- Malta
- Uganda
- 23 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Science
- Chemistry
- Mathematics
- Materials Science
- Business
- Environment
- Electrical Engineering
- Psychology
- Social Sciences
- Arts and Literature
- Earth Sciences
- Linguistics
- Humanities
- Physics
- Education
- Law
- Design
- Sports and Recreation
- 13 more »
- « less
-
. CPUs/GPUs) and their use in high-performance computing through shared or distributed parallel programming (e.g. OpenMP, MPI). Strong programming ability in C++ or a related language. Experience in
-
architectures (e.g. CPUs/GPUs) and their use in high-performance computing through shared or distributed parallel programming (e.g. OpenMP, MPI). 3. Strong programming ability in C++ or a related language. 4
-
familiarity with parallel programming (MPI and OpenMP). Experience with finite volume methods, high order discretisation or hybrid numerical frameworks is desirable. See the job description for further details
-
projects. You will be responsible for managing and supporting the Science Data Processor High Performance Computing (HPC) infrastructure, including platforms, workload/resource managers, and parallel
-
ecomorphological outcomes significantly parallel. As a next step, it is vital to dig more deeply into the molecular mechanisms driving these patterns. This project will examine replicate divergences into specialist
-
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
-
for CFD, competence in scientific programming (such as Fortran or C++), and familiarity with parallel programming (MPI and OpenMP). Experience with finite volume methods, high order discretisation or hybrid
-
) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency in writing code with C, C++ and/or Python Ability to demonstrate strong written
-
good understanding of the physics of scattering and antenna radiation Programming experience in C/C++ is necessary while experience in parallel and GPU computing is most desired More Information Location
-
Loughborough’s Doctoral students, working in any discipline, to participate in a 16-week programme , which will run from w/c 9th March to w/c 29th June 2026 . Successful applicants will spend an average