Sort by
Refine Your Search
-
Country
-
Program
-
Employer
- Harvard University
- Singapore University of Technology & Design
- National University of Singapore
- AALTO UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Aarhus University
- Imperial College London
- King's College London
- Nanyang Technological University
- SUNY University at Buffalo
- Stanford University
- Technical University of Munich
- The University of Arizona
- UNIVERSITY OF SURREY
- University of California
- University of Florida
- University of Lund
- University of North Carolina at Chapel Hill
- Utrecht University
- Yale University
- ;
- CRANFIELD UNIVERSITY
- Durham University
- Eindhoven University of Technology (TU/e)
- Florida Atlantic University
- Georgia Southern University
- Great Bay University
- Hong Kong Polytechnic University
- Imperial College London;
- Indiana University
- Lehigh University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Mohamed bin Zayed University of Artificial Intelligence
- NTNU Norwegian University of Science and Technology
- Northeastern University
- Pennsylvania State University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Saarland University
- Stony Brook University
- Texas A&M University
- The University of Alabama
- UCL;
- University of California, Los Angeles
- University of Cambridge;
- University of Copenhagen
- University of Idaho
- University of Maryland, Baltimore
- University of Minnesota
- University of Oslo
- University of South Carolina
- University of Texas Rio Grande Valley
- University of Texas at Austin
- University of Texas at El Paso
- University of Utah
- University of Waterloo
- 45 more »
- « less
-
Field
-
turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
-
extracting transport properties from molecular dynamics trajectories. ● Experience with GPU-accelerated machine learning frameworks (for example CUDA, PyTorch, or GPU-enabled LAMMPS). ● Experience
-
faculty onboarding, consultation, documentation, and training activities that help research teams become productive users of HPC and GPU resources Assist faculty in identifying and pursuing external
-
), including 504 NVIDIA Blackwell B200 GPUs. These resources are provisioned directly through the group's institutional allocation. The University of Florida is the state's flagship land-grant, Carnegie R1, and
-
strategies to port multi-dimensional integrodifferential equations, describing higher order scattering/correlations to specialist large scale GPU hardware. Carry out independent research, work closely with
-
computational modelling of additive manufacturing and develop high-performance GPU-based CFD solvers. Qualifications • With PhD degree • Strong research experience in developing GPU-based
-
focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs, and complete battery systems. Thermal runaway is a chain
-
· Experience with multi-GPU or distributed training is a plus · Ability to work independently as well as part of an interdisciplinary team in a fast-paced environment, while making necessary connections
-
with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
-
find and assess the most promising habitable exoplanets around solar-like magnetically active stars? Join us to build next‑generation GPU‑accelerated models of stellar dynamos and connect them