Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Argonne
- Oak Ridge National Laboratory
- CNRS
- University of Oslo
- National University of Singapore
- University of Luxembourg
- Forschungszentrum Jülich
- Princeton University
- Technical University of Munich
- AI4I
- Aarhus University
- California Institute of Technology
- Harvard University
- McGill University
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SUNY Polytechnic Institute
- Stanford University
- UiT The Arctic University of Norway
- University of Nebraska Medical Center
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- University of Utah
- Yale University
- Academic Europe
- Barnard College
- Brookhaven National Laboratory
- Center for Devices and Radiological Health (CDRH)
- Centro de Astrofisica da Universidade do Porto
- Czech Technical University in Prague
- Duke University
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- ETH Zürich
- Embry-Riddle Aeronautical University
- Erasmus MC (University Medical Center Rotterdam)
- FCiências.ID
- Flanders Institute for Biotechnology
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Humboldt-Universität zu Berlin
- ICN2
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Imperial College London
- Imperial College London;
- Istituto Italiano di Tecnologia
- Jane Street Capital
- KINGS COLLEGE LONDON
- King's College London
- LINKS Foundation - Leading Innovation & Knowledge for Society
- La Rochelle Université
- Lawrence Berkeley National Laboratory
- Leibniz
- Lunds universitet
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Macquarie University
- Manchester Metropolitan University
- Nagoya University
- National Renewable Energy Laboratory NREL
- Northeastern University
- Paul Scherrer Institut Villigen
- RIKEN
- Rutgers University
- Technical University of Denmark
- Texas A&M University
- Umeå universitet stipendiemodul
- University of Arkansas
- University of Florida
- University of Idaho
- University of Jyväskylä
- University of Miami
- University of Oulu
- University of Turku
- Université Catholique de Louvain (UCL)
- Utrecht University
- VIB
- 67 more »
- « less
-
Field
-
mathematicians, and domain scientists Develop software that integrates machine learning and numerical techniques targeting heterogeneous architectures (GPUs and accelerators), including DOE leadership-class
-
disease insights. The lab has state-of-the-art computing capabilities with an in-house cluster serving 80 CPU cores and 1.5TB of RAM, as well as a newly acquired NVIDIA DGX box with eight H100 GPUs and 224
-
. Programming & Software Development: Proficiency in Python, PyTorch, JAX, or other ML frameworks Computing: Some experience with large-scale datasets, parallel computing, and GPUs/TPUs. Algorithm Development
-
scientists and engineers are accustomed to. Moreover, the vast majority of the performance associated with these reduced precision formats resides on special hardware units such as tensor cores on NVIDIA GPUs
-
E13) up to 5 years International collaboration to build a large radiotherapy dataset Dedicated GPU infrastructure Strong collaborations within TUM’s AI ecosystem High-impact publication potential
-
variety of computational devices (e.g. CPUs and GPUs) while ensuring overall consistency and performance. - contribute to identify new CSE applications domains, such as condensed matter systems, quantum
-
computing Hands-on experience with PyTorch, including GPU-accelerated model training and optimization Experience training and running models on shared HPC clusters and remote GPU servers, including working in
-
role We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
-
). Expertise in data and model parallelisms for distributed training on large GPU-based machines is essential. Candidates with experience using diffusion-based or other generative AI methods as
-
infrastructure, providing trainees with access to UF’s HiPerGator supercomputing facility, including 50 NVIDIA B200 GPUs, and a high-throughput automated screening platform. We offer a supportive, collaborative