Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- CNRS
- NEW YORK UNIVERSITY ABU DHABI
- Oak Ridge National Laboratory
- Argonne
- Duke University
- Aarhus University
- Forschungszentrum Jülich
- Harvard University
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- SUNY Polytechnic Institute
- Technical University of Munich
- University of Miami
- University of Nebraska Medical Center
- University of Utah
- AI4I
- Brookhaven National Laboratory
- Chalmers University of Technology
- Czech Technical University in Prague
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- FAPESP - São Paulo Research Foundation
- Flanders Institute for Biotechnology
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- ICN2
- McGill University
- Northeastern University
- RIKEN
- Rutgers University
- Technical University of Denmark
- Texas A&M University
- Umeå universitet stipendiemodul
- University of Basel
- University of Jyväskylä
- University of Luxembourg
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- University of Turku
- Utrecht University
- VIB
- 32 more »
- « less
-
Field
-
Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
. Knowledge and Professional Experience: DFT-based methods. Scientific programming in Fortran, in MPI/OpenMP-parallelised codes. Knowledge of other languages (in particular python) and of GPU offloading will be
-
tracking), dataset curation, HPC/GPU programming, blockchain for secure data, C-family languages, and embodied AI/robotics are a plus. Experience with general network resilience, cellular automata
-
. Experience with graph-based data analysis or anomaly detection methods. Exposure to high-performance or GPU-based computing environments. Demonstrated ability to contribute to publications or technical reports
-
for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who are cooperating across
-
(Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank
-
will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree
-
results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
-
hydrodynamics and/or N-body simulations in the star and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be
-
contact, as identified by AFRL through recent past efforts. This includes the implementation of relevant algorithms and solvers for distributed GPU computing within the JAX Python library. Qualifications