Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- ;
- Princeton University
- Forschungszentrum Jülich
- California Institute of Technology
- ETH Zurich
- Technical University of Munich
- University of Texas at Austin
- NEW YORK UNIVERSITY ABU DHABI
- University of North Carolina at Chapel Hill
- Fraunhofer-Gesellschaft
- Yale University
- Carnegie Mellon University
- Imperial College London
- KINGS COLLEGE LONDON
- Stony Brook University
- The University of Chicago
- University of Glasgow
- Argonne
- Auburn University
- European Magnetism Association EMA
- Jane Street Capital
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- North Carolina State University
- Northeastern University
- Pennsylvania State University
- The University of Queensland
- Universite de Moncton
- University of Sheffield
- Boston Children's Hospital
- Brookhaven Lab
- CEA
- Curtin University
- DAAD
- Duke University
- Harvard University
- Heriot Watt University
- Linköping University
- Monash University
- NIST
- National University of Singapore
- SUNY University at Buffalo
- Stanford University
- The Ohio State University
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SURREY
- University of Bristol
- University of California
- University of California Davis
- University of California, Los Angeles
- University of Florida
- University of Luxembourg
- University of Manchester
- University of Maryland, Baltimore
- University of Oklahoma
- University of Oxford
- University of South Carolina
- University of Vermont
- Virginia Tech
- ; University of Southampton
- ; University of Strathclyde
- ; University of Sussex
- AALTO UNIVERSITY
- Boston College
- CSIRO
- Capitol College
- City University London
- Cold Spring Harbor Laboratory
- Columbia University
- Embry-Riddle Aeronautical University
- Empa
- European Space Agency
- Free University of Berlin
- Georgia State University
- Ghent University
- Hofstra University
- INESC ID
- Johns Hopkins University
- King Abdullah University of Science and Technology
- Kingston University
- Koç University
- Lawrence Berkeley National Laboratory
- Manchester Metropolitan University
- Massachusetts Institute of Technology
- McGill University
- Medical College of Wisconsin
- Nanyang Technological University
- New York University
- Radboud University
- Rutgers University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- San Jose State University
- Shanghai Jiao Tong University
- Simons Foundation
- Singapore Institute of Technology
- Technical University of Denmark
- Temple University
- The Chinese University of Hong Kong
- 90 more »
- « less
-
Field
-
techniques. Preferred Qualifications: Knowledge of HPC matrix, tensor and graph algorithms. Knowledge of GPU CUDA and HIP programming Knowledge on distributed algorithms using MPI and other frameworks such as
-
Empire Innovation Professor (Associate Professor) Artificial Intelligence in Biomolecular and Drug D
. This position offers substantial resources, including access to the SeaWulf computing cluster and cutting-edge GPU clusters housed at IACS and CEWIT. The Empire Innovation Professor will join a robust community
-
especially on GPU infrastructure enhancements and improvements as part of Yale’s comprehensive campus investment in AI . As an experienced subject matter expert, you will help lead the system design
-
, Probabilistic Inference, Algebraic Topology and Wavelet analysis theory. Familiar with Matlab/Python/C++ programming. Experience with Pytorch and multi-GPU model deployment. Experience in analyzing complex
-
Mathematica and Python with an interest in GPU programming. These required and desired skills should be demonstrated by presenting an existing body of code and/or peer-reviewed publications. Additional
-
developments; Significant experience with the development of custom modules using GPU-accelerated APIs for deep learning (e.g., Pytorch); and Publications in top-tier venues in Machine Learning and/or Signal
-
learning for policy optimisation, all within a huge GPU-based simulation with thousands of robots learning synchronously in parallel. The best solutions will then be 3D-printed, and policies will be fine
-
needs, such as assisting the team with evaluating evolutionary algorithms for exploring creative new hand designs, or reinforcement learning for policy optimisation, all within a huge GPU-based simulation
-
theoretical physics, whose responsibilities relate to distributed systems and the GPU optimization of AI algorithms. We expect the team to grow in size considerably over the next few years, and are looking
-
the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in