Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- Forschungszentrum Jülich
- National University of Singapore
- Carnegie Mellon University
- NEW YORK UNIVERSITY ABU DHABI
- CNRS
- Princeton University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- HHMI
- Harvard University
- Technical University of Munich
- Argonne
- Nanyang Technological University
- The Ohio State University
- University of Sheffield
- Duke University
- ETH Zurich
- McGill University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Imperial College London
- Lawrence Berkeley National Laboratory
- University of Birmingham
- University of Luxembourg
- DAAD
- Hong Kong Polytechnic University
- Inria, the French national research institute for the digital sciences
- Leibniz
- Linköping University
- New York University
- North Carolina State University
- Northeastern University
- Pennsylvania State University
- SUNY Polytechnic Institute
- Stanford University
- Technical University of Denmark
- University of California
- University of Central Florida
- University of Glasgow
- University of Miami
- University of Nevada Las Vegas
- University of North Carolina at Chapel Hill
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aarhus University
- California Institute of Technology
- Central Michigan University
- Cornell University
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- Fraunhofer-Gesellschaft
- Jane Street Capital
- K3Y Ltd
- Koç University
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- NIST
- National Renewable Energy Laboratory NREL
- Rutgers University
- SciLifeLab
- Stony Brook University
- University of Colorado
- University of Florida
- University of Nebraska Medical Center
- University of Oslo
- University of Pennsylvania
- University of South Carolina
- University of Southern Denmark
- University of Texas at Arlington
- University of Toronto
- University of Utah
- University of Washington
- Utrecht University
- VIB
- AALTO UNIVERSITY
- AI4I
- AIT Austrian Institute of Technology
- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
- Aalborg University
- Academic Europe
- Auburn University
- Barnard College
- Binghamton University
- Blekinge Institute of Technology
- Brookhaven National Laboratory
- Brown University
- Cardiff University
- Case Western Reserve University
- Center for Devices and Radiological Health (CDRH)
- Centro de Astrofisica da Universidade do Porto
- Chalmers University of Technology
- City of Hope
- Czech Technical University in Prague
- Delft University of Technology (TU Delft)
- Drexel University
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- Electronics and Informatics Department
- Embry-Riddle Aeronautical University
- FAPESP - São Paulo Research Foundation
- 90 more »
- « less
-
Field
-
/GPU environments. Provide consultative support and training to researchers using BRC AI/ML tools and pipelines. Performs related duties & responsibilities as assigned/requested. Qualifications REQUIRED
-
development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D
-
(URCF) at Drexel University is building a new shared computing platform focused on GPU-accelerated workloads, particularly AI model training. The system includes GPU and CPU compute nodes with Nvidia H200
-
heterogeneous (CPU/GPU) computing models. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and
-
that serve the entire campus community. You will bridge the gap between high-performance hardware and practical user applications, ensuring that our AI infrastructure, from GPU infrastructure to sovereign data
-
experiments, particularly ATLAS and DUNE. Contribute to the architecture and core development of the Phlex framework, emphasizing scalable, multi-threaded, and heterogeneous (CPU/GPU) computing models
-
well as large-scale GPU computing facilities for deep learning. Our Lab aims to hire a Research Fellow to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will
-
, multi-modal data, and GPU-accelerated machine learning for materials science. Information We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a
-
heterogeneous (CPU/GPU) computing models. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and
-
Job Code 0005 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job The successful applicant will assist in the adaptation of the PPMstar code to run well on GPU-accelerated