Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- Nature Careers
- CNRS
- Argonne
- Duke University
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Munich
- Aarhus University
- Harvard University
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- SUNY Polytechnic Institute
- University of Miami
- University of Nebraska Medical Center
- AI4I
- Brookhaven National Laboratory
- Chalmers University of Technology
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- Flanders Institute for Biotechnology
- Forschungszentrum Jülich
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- ICN2
- McGill University
- Northeastern University
- Rutgers University
- Sandia National Laboratories
- Stanford University
- Technical University of Denmark
- Texas A&M University
- 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
- University of Utah
- Utrecht University
- VIB
- 30 more »
- « less
-
Field
-
CPU and GPU based HPC systems. Exploration of the capabilities of DPU/IPU SmartNICs to support network security isolation, platform level root-of-trust, and secure platform management/partitioning
-
, Computer Science, or a closely related field. Experience in at least one of the following areas: FPGA programming (VHDL/Verilog, HLS) Pixel detectors in high-energy physics or radiation detection
-
machine learning techniques, and GPU programming. The simulation results will be compared to observational data obtained using facilities worldwide including ESO and NOT. Who we are looking for A successful
-
. 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
-
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
-
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
-
(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
-
, and progression outcomes) and high-end compute (hundreds of NVIDIA H100 GPUs) via Mila and the Digital Research Alliance of Canada, and involves active collaborations with Stanford, Oxford, Google
-
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