Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Colorado
- University of Utah
- University of Washington
- European Space Agency
- KINGS COLLEGE LONDON
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Northeastern University
- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Vienna
- AALTO UNIVERSITY
- Auburn University
- BEIJING NORMAL UNIVERSITY
- Blekinge Institute of Technology
- Cornell University
- DURHAM UNIVERSITY
- ETH Zurich
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- HHMI
- Harvard University
- Johns Hopkins University
- King's College London
- New Uzbekistan University
- Oak Ridge National Laboratory
- Rutgers University
- The University of Arizona
- UNIVERSITY OF TECHNOLOGY NUREMBERG
- UNIVERSITY OF VIENNA
- Universidade do Algarve
- University of California
- University of California Davis
- University of Cambridge;
- University of Cincinnati
- University of Glasgow
- University of Maine
- University of Massachusetts Boston
- University of Southern Denmark
- Washington University in St. Louis
- 29 more »
- « less
-
Field
-
including workload schedulers, storage systems, and distributed compute nodes. Applies analytical methods to evaluate system performance, identify bottlenecks, and implement corrective actions to improve
-
Application Deadline 4 Feb 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
-
(fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations
-
the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant REMODEL: Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant
-
. 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
-
organizing/publishing software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities
-
software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities demonstrated through
-
integration with classical HPC; accelerator platforms and accelerated computing; parallel, distributed, and HPC programming models and languages; software design, verification, and optimization; energy
-
remains an active subject-matter expert in HPC frameworks, distributed computing, AI-accelerated software stacks, and large-scale workflow orchestration. The role supports faculty, research staff, and