Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Oak Ridge National Laboratory
- CNRS
- Argonne
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Forschungszentrum Jülich
- Lunds universitet
- AI4I
- Aarhus University
- Academia Sinica
- Harvard University
- SUNY Polytechnic Institute
- Stanford University
- Technical University of Munich
- University of Nebraska Medical Center
- University of North Carolina at Chapel Hill
- Utrecht University
- Yale University
- Brookhaven National Laboratory
- Czech Technical University in Prague
- Duke University
- ETH Zürich
- Embry-Riddle Aeronautical University
- Erasmus MC (University Medical Center Rotterdam)
- Flanders Institute for Biotechnology
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- ICN2
- 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
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- McGill University
- Nagoya University
- Northeastern University
- RIKEN
- Rutgers University
- TU Wien
- Technical University of Denmark
- Texas A&M University
- Umeå universitet stipendiemodul
- University of Miami
- University of New Hampshire – Main Campus
- University of Turku
- University of Utah
- VIB
- l'institut du thorax, INSERM, CNRS, Nantes Université
- 40 more »
- « less
-
Field
-
for embedded and GPU platforms. Collaborate with ARSPECTRA engineers and surgeons to create a complete AR guidance pipeline : tracking, SLAM, gaze, user interface Your profile PhD in machine learning
-
wireless testbeds desirable, some familiarity with GPU programming desirable (to support collaboration with NVIDIA) Duke is an Equal Opportunity Employer committed to providing employment opportunity without
-
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
-
. This project seeks to overcome key workflow and precision limitations in HDR brachytherapy by enabling real-time adaptive optimization during needle insertion, integrating live ultrasound imaging with GPU
-
chemistry and experience with quantum chemistry packages (e.g., Molpro, NWChem) Strong skills in developing and implementing computational and numerical methods; familiarity with parallel computing on CPU/GPU
-
(static and dynamic photochemistry, heterogeneous catalysis, modeling of interfaces and ionic liquids). It benefits from access to the CBPSMN mesocenter, with a large amount CPUs and GPUs facilities. In
-
their publications Experience programming GPUs with CUDA, SYCL, HIP or OpenMP Experience using and developing code with AMReX Experience in performance engineering to improve code scalability and reduce time-to
-
-of-the-art compute and GPU infrastructure, including H100 and B300 GPU clusters. Innovation: The opportunity to apply a recently published, "proof-of-concept" method for synthetic enhancer design to a critical
-
%). You will work on the extension of the DUNE-FEM package to support computations on GPU hardware with various types of Finite Element methods. This work is embedded in a research project considering
-
and writing scientific code - Knowledge of at least one of the parallel programming paradigms (MPI, OpenMP, GPU) - Proficiency in both spoken and written English is essential (work will be carried out