Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- CNRS
- NEW YORK UNIVERSITY ABU DHABI
- Argonne
- Lunds universitet
- Nature Careers
- Aalborg University
- Forschungszentrum Jülich
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- Technical University of Munich
- University of California
- Academia Sinica
- ICN2
- Lawrence Berkeley National Laboratory
- SUNY Polytechnic Institute
- Stanford University
- Technical University of Denmark
- University of Kansas
- University of Lund
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- Yale University
- AI4I
- Brookhaven National Laboratory
- Chalmers University of Technology
- Durham University
- Embry-Riddle Aeronautical University
- Empa
- Inria, the French national research institute for the digital sciences
- Istituto Italiano di Tecnologia
- Itä-Suomen yliopisto
- KINGS COLLEGE LONDON
- King's College London
- La Rochelle Université
- Luxembourg Institute of Health
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Psycholinguistics
- Max Planck Institute for Psycholinguistics; today published
- McGill University
- RIKEN
- Rutgers University
- Sano Centre for Computational Personalized Medicine
- TU Wien
- The University of Arizona
- The University of Edinburgh;
- Universite de Montpellier
- University of Antwerp
- University of Miami
- University of Turku
- University of Utah
- l'institut du thorax, INSERM, CNRS, Nantes Université
- 43 more »
- « less
-
Field
-
results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
-
hydrodynamics and/or N-body simulations in the star and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be
-
enhance human-computer interaction and improve our understanding of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU
-
, and progression outcomes) and high-end compute (hundreds of NVIDIA H100 GPUs) via Mila and the Digital Research Alliance of Canada, and involves active collaborations with Stanford, Oxford, Google
-
and tool-using agents for experiment design, simulation steering, data collection, and lab/compute orchestration; planning and memory; multi-agent collaboration. Scientific Reasoning: Program/path
-
modeling, or ordinary/stochastic differential equations. Experience in computational, statistical, or machine learning method development in any discipline. Experience in GPU computing frameworks (e.g
-
finite elements) as well as alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https
-
. Due to the interdisciplinary nature of the work, we are looking for a person with a background in performance engineering and high-performance computing hardware (high-performance CPUs and GPUs) as well
-
, Japan [map ] Subject Areas: Mathematical and Information Science Computational Science Biology Chemistry Engineering (more...) Physics Interdisciplinary Medical Science Appl Deadline: (posted 2025/10/01
-
RTDS. Experience with software development. Experience with use of GPUs, multi-core CPUs, advanced computing (e.g., QPUs). Excellent written and oral communication skills. Motivated self-starter with