Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Argonne
- Nature Careers
- Oak Ridge National Laboratory
- CNRS
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Munich
- AI4I
- Aarhus University
- Forschungszentrum Jülich
- Harvard University
- SUNY Polytechnic Institute
- Stanford University
- University of Luxembourg
- University of Nebraska Medical Center
- University of North Carolina at Chapel Hill
- University of Utah
- Yale University
- Brookhaven National Laboratory
- 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)
- Flanders Institute for Biotechnology
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- ICN2
- Istituto Italiano di Tecnologia
- KINGS COLLEGE LONDON
- King's College London
- La Rochelle Université
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- McGill University
- Nagoya University
- Northeastern University
- RIKEN
- Rutgers University
- Technical University of Denmark
- Texas A&M University
- Umeå universitet stipendiemodul
- University of Florida
- University of Jyväskylä
- University of Miami
- University of New Hampshire – Main Campus
- University of Turku
- Utrecht University
- VIB
- 38 more »
- « less
-
Field
-
learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
-
geophysical sciences, computer science, or machine learning with 0 to 2 years of experience Knowledge of deep learning, PyTorch/JAX, and scaling deep learning models to large GPU-based machines Technical
-
. In addition, CVI2 provides high-performance GPU computing resources that support the design and training of advanced AI models. The research agenda of CVI2 focuses on cutting-edge topics such as 3D
-
techniques such as yeast display and deep mutational scanning, or computational candidates with experience in generative AI, reinforcement learning, or agentic AI. The lab is supported by world-class
-
) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
-
programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with
-
). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
-
clusters, cloud computing, or GPU acceleration. Strong mathematical background in linear algebra, probability, and statistics. Prior research experience with publications or preprints. The University
-
experimental data and workflows. The team drives innovation in algorithm design, GPU-accelerated computing, and quantum-ready methodologies applicable to complex scientific problems across the experimental