Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Oak Ridge National Laboratory
- EPFL
- 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
- University of South Carolina
- Yale University
- ;
- Baylor College of Medicine
- CNRS
- ETH Zürich
- 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
- Singapore-MIT Alliance for Research and Technology
- 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 Lund
- University of Minnesota
- University of New Hampshire
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- University of Utah
- Utrecht University
- 43 more »
- « less
-
Field
-
transformer architectures (e.g., ViT/TimeSformer, CLIP/BLIP or similar) in PyTorch, including scalable training on GPUs and reproducible experimentation. Demonstrated experience building explainable models (e.g
-
their publications Experience programming GPUs with CUDA, SYCL, HIP or OpenMP Experience using and developing code with AMReX Experience in performance engineering to improve code scalability and reduce time-to
-
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
-
conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
-
) microscopy capable of probing the magnetization dynamics of individual nanostructures, with large-scale GPU-accelerated micromagnetic simulations developed within the group. The research is carried out within
-
for prototyping. Interest and affinity for high-performance computing are necessary for the position. You should have experience with the roofline model and familiarity with a profiler . Experience with GPUs is a
-
analysis tools (e.g., 3D Slicer) Experience managing GPU-enabled cluster nodes Desirable: Experience working with current large language models (LLMs) and their ecosystems Required Application Materials