Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Oak Ridge National Laboratory
- ETH Zurich
- Nanyang Technological University
- National University of Singapore
- Pennsylvania State University
- Stony Brook University
- King Abdullah University of Science and Technology
- The University of Chicago
- University of Oxford
- Virginia Tech
- Carnegie Mellon University
- Imperial College London
- University of Texas at Austin
- Northeastern University
- Rutgers University
- Technical University of Munich
- University of Florida
- University of Texas at Arlington
- Duke University
- Earlham Institute
- Fraunhofer-Gesellschaft
- HHMI
- North Carolina State University
- University of Alabama at Birmingham
- University of California
- University of Minnesota
- University of Pittsburgh
- VIB
- CNRS
- California Institute of Technology
- Curtin University
- Delft University of Technology (TU Delft)
- EPFL
- Harvard University
- King's College London
- Max Planck Institute for Marine Microbiology
- Michigan Technological University
- Monash University
- NEW YORK UNIVERSITY ABU DHABI
- NIST
- The Ohio State University
- University of Bristol
- University of Delaware
- University of Glasgow
- University of Lund
- University of Luxembourg
- University of Nevada Las Vegas
- University of New South Wales
- University of North Carolina Wilmington
- University of Southern California
- University of Toronto
- University of Vermont
- ;
- ARQUIMEA RESEARCH CENTER
- Aarhus University
- Aarhus University (AU)
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Birkbeck University of London
- Birkbeck, University of London;
- Blekinge Institute of Technology
- CRUK Scotland Institute
- California State University, San Bernardino
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Chalmers University of Technology
- Cornell University
- De Montfort University;
- ETH Zürich
- European Molecular Biology Laboratory (EMBL)
- European University Institute
- Forschungszentrum Jülich
- Georgetown University
- Iliad
- Imperial College London;
- Inria, the French national research institute for the digital sciences
- Johns Hopkins University
- KTH Royal Institute of Technology
- King's College London;
- Koç University
- Lunds universitet
- MASARYK UNIVERSITY
- Marist College
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max-Planck-Institut für Struktur und Dynamik der Materie
- Meta/Facebook
- Missouri University of Science and Technology
- Purdue University
- Research Center for Molecular Medicine (CeMM), ÖAW
- SAIT Polytechnic
- Tallinn University of Technology
- Texas A&M University
- Texas A&M University System
- The California State University
- The University of Edinburgh;
- The University of Skövde
- Timaeus Research
- UNIVERSITY OF HELSINKI
- Universidad de Alicante
- Universidade da Madeira
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat de les Illes Balears
- 90 more »
- « less
-
Field
-
these fields, demand for GPU resources for AI has increased significantly in recent years. We operate modern HPC clusters, visualisation resources and advanced storage systems, and continuously develop new
-
documentation practices. Experience with GPU-accelerated hardware platforms and software engineering including NVIDIA GPUs and CuPy/CUDA/C++ programming. Familiarity with 5G/6G wireless standards and AI/ML
-
tasks and meet competing deadlines by using judgement and initiative. Desirable Skills and Experience (Advantageous but not Essential): Experience with high‑performance compute (HPC) or GPU‑accelerated
-
written communication skills Experience with GPU training and handling large medical datasets e.g., large magnetic resonance (neuro)imaging datasets. Basic understanding of radiology clinical workflows and
-
: ED431F 2023/40 Project Title: Searching for Physics Beyond the Standard Model at LHCb Using Neural Networks and GPUs Funding Period: Start: 1 January 2023 End: 31 December 2027 Principal Investigator's
-
ambitious investments in fundamental AI research. BOLD also has access to national compute resources (3M GPU hours on Isambard for the first 1.5 years) and we are working hard to get to 5000 H100 equivalent
-
ambitious investments in fundamental AI research. BOLD also has access to national compute resources (3M GPU hours on Isambard for the first 1.5 years) and we are working hard to get to 5000 H100 equivalent
-
electromagnetic engineering problems. Programming experience in C/C++ and GPU is desired. Other qualifications being expected are as follows. Good analytical and problem-solving skills; Good analytical and
-
implementation for core capabilities such as distributed training and inference, workflow orchestration, GPU/accelerator utilization, model registries and artifact management, vector search and retrieval-augmented
-
analyzing machine learning experiments; supporting scaled experiments involving neural networks, large language models, and GPU clusters; improving reproducibility, reliability, and usability of research