Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Oak Ridge National Laboratory
- EPFL
- AALTO UNIVERSITY
- Argonne
- Forschungszentrum Jülich
- Harvard University
- Helmholtz Association of German Research Centres
- KTH Royal Institute of Technology
- NEW YORK UNIVERSITY ABU DHABI
- SciLifeLab
- Stanford University
- Technical University of Munich
- University of Copenhagen
- Utrecht University
- Yale University
- ;
- Aarhus University
- Baylor College of Medicine
- CNRS
- Eindhoven University of Technology (TU/e)
- Fundació per a la Universitat Oberta de Catalunya
- Ghent University
- Great Bay University
- INSA Rouen Normandie
- Indiana University
- Inria, the French national research institute for the digital sciences
- Istituto Italiano di Tecnologia
- King's College London
- Lehigh University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Mohamed bin Zayed University of Artificial Intelligence
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Pennsylvania State University
- Rutgers University
- SUNY University at Buffalo
- SUNY at Buffalo
- Saarland University
- Sandia National Laboratories
- Stony Brook University
- Texas A&M University
- The University of Arizona
- Toyota Technological Institute
- University of Amsterdam (UvA)
- University of California
- University of California, Los Angeles
- University of Florida
- University of Lund
- University of Minnesota
- University of New Hampshire
- University of North Carolina at Chapel Hill
- University of South Carolina
- University of Utah
- Uppsala universitet
- 44 more »
- « less
-
Field
-
candidates working in formal methods and/or computer systems with interests in one or more of the following areas: machine-checked verification of systems software, GPU kernel semantics and verification, and
-
), including 504 NVIDIA Blackwell B200 GPUs. These resources are provisioned directly through the group's institutional allocation. The University of Florida is the state's flagship land-grant, Carnegie R1, and
-
extracting transport properties from molecular dynamics trajectories. ● Experience with GPU-accelerated machine learning frameworks (for example CUDA, PyTorch, or GPU-enabled LAMMPS). ● Experience
-
focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs, and complete battery systems. Thermal runaway is a chain
-
collaborators and strong access to compute through national GPU systems (NAISS, e.g. Berzelius and Arrhenius) and local GPU infrastructure. Project description The position offers significant scientific freedom
-
, e.g in a GPU architecture, and their applications to magnetic phenomena is meriting. About the employment The employment is a temporary position of two years according to central collective agreement
-
, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI, and the Aalto
-
for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI
-
, with close interaction with bioinformatics, microbial ecology and experimental crop research at the UU and NOAH partners. You will have access to Utrecht University GPU/HPC infrastructure and large
-
Interactions external link groups, with close interaction with bioinformatics, microbial ecology and experimental crop research at the UU and NOAH partners. You will have access to Utrecht University GPU/HPC