Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- Forschungszentrum Jülich
- Max Planck Institute (MPI) for Psycholinguistics
- Nature Careers
- Technical University of Denmark
- University of California
- Yale University
- Academia Sinica
- DURHAM UNIVERSITY
- Lawrence Berkeley National Laboratory
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Stanford University
- Technical University of Munich
- University of Kansas
- University of New Hampshire – Main Campus
- CNRS
- Chalmers University of Technology
- Durham University
- Durham University;
- Embry-Riddle Aeronautical University
- Empa
- European Space Agency
- Georgia State University
- ICN2
- INESC ID
- KINGS COLLEGE LONDON
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Psycholinguistics
- Max Planck Institute for Psycholinguistics; today published
- McGill University
- New York University
- Northumbria University;
- RIKEN
- Reykjavik University
- Sano Centre for Computational Personalized Medicine
- The University of Edinburgh;
- The University of North Carolina at Chapel Hill
- University of Antwerp
- University of Houston Central Campus
- University of Massachusetts Medical School
- University of Turku
- Université Grenoble Alpes
- 39 more »
- « less
-
Field
-
the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
-
of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a
-
the team You will join the Thermal NDE Research Team within the Department of Computer and Information Sciences. The group hosts state‑of‑the‑art IR cameras, induction coils and GPU‑accelerated
-
project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
-
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
-
Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in
-
responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C
-
our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
-
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
-
developing machine learning surrogates and emulators for dynamical systems. Proficiency in managing large datasets and training with GPU-enabled computing resources. Expertise in numerical optimization and