Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- EPFL
- Argonne
- NEW YORK UNIVERSITY ABU DHABI
- AALTO UNIVERSITY
- Forschungszentrum Jülich
- King's College London
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- SciLifeLab
- Utrecht University
- Yale University
- ;
- Academia Sinica
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Fundació per a la Universitat Oberta de Catalunya
- Harvard University
- INSA Rouen Normandie
- Inria, the French national research institute for the digital sciences
- Istituto Italiano di Tecnologia
- KTH Royal Institute of Technology
- KU LEUVEN
- Lehigh University
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Mohamed bin Zayed University of Artificial Intelligence
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Pennsylvania State University
- SUNY University at Buffalo
- Sandia National Laboratories
- Stanford University
- Texas A&M University
- The Ohio State University
- The University of Arizona
- Toyota Technological Institute
- University of California
- University of California, Los Angeles
- University of Central Florida
- University of Lund
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of South Carolina
- University of Utah
- Uppsala universitet
- 34 more »
- « less
-
Field
-
(e.g. weather, hydrology). 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
-
languages, systems, or ML Research experience in one or more of: interactive theorem proving (Rocq, Lean, HOL, Isabelle, or similar), GPU programming or semantics, compilers, concurrency, or ML systems (e.g
-
systems, including GPU-accelerated platforms. Develop and maintain scientific software, primarily in Python, using modern practices for software development, testing, documentation, and version control
-
dynamical systems High-performance computing Parallel numerical algorithms GPU computing Strong programming skills are very important. Experience with C/C++, Python, Julia, MATLAB, CUDA, or a comparable
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 6 days ago
, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the above-mentioned fields. What we offer State-of-the-art on-site high performance/GPU compute facilities
-
embedded within a collaborative research program between MBZUAI and the AI for Climate initiative at the University of Chicago, supported by funding from the International Affairs Office at the Presidential
-
specialized for studies of presolar grains and ancient planetary materials. ASIAA has a dedicated CPU cluster, several GPU servers, as well as access to the National High-performance Computing Center. ASIAA is
-
— shortest paths, connectivity, clustering, or graph traversal on GPU clusters and distributed-memory systems. Sparse direct and iterative linear solvers — communication-avoiding methods, sparse LU
-
research contributions. Strong programming and software-engineering experience in languages and environments relevant to the lab’s work, such as Python, C/C++, Java, JavaScript/TypeScript, containerization
-
insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and