Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Northeastern University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- Aarhus University
- Chalmers University of Technology
- Medical College of Wisconsin
- Nature Careers
- Princeton University
- University of Washington
- Central China Normal University
- Delft University of Technology (TU Delft); yesterday published
- ETH Zurich
- ETH Zürich
- Ghent University
- Heidelberg University
- INESC ID
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- KU LEUVEN
- Michigan Technological University
- Reykjavik University
- Technical University Of Denmark
- UNIVERSITY OF VIENNA
- Umeå universitet stipendiemodul
- University of Amsterdam (UvA)
- VIB
- Wageningen University & Research
- Washington State University
- Washington University in St. Louis
- 18 more »
- « less
-
Field
-
mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
-
method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
-
method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you excited by out-of-the-box
-
. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages such as python. Experience with HPC environments and linear algebra
-
theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging, and deployment
-
multicore parallelism with SYCL Lead and contribute to our research on adaptive parallelism with OpenMP Research how to efficiently compile SYCL and OpenMP programs on RISC-V platforms Co-supervise PhD
-
people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise
-
platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
-
programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers