Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- ETH Zurich
- SUNY University at Buffalo
- University of Lund
- Yale University
- University of Copenhagen
- Argonne
- Baylor College of Medicine
- CEA
- EPFL
- Lawrence Livermore National Laboratory
- Mohamed bin Zayed University of Artificial Intelligence
- SciLifeLab
- Stanford University
- Technical University of Denmark
- The University of Arizona
- AALTO UNIVERSITY
- Aalto University
- Adelaide University
- Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen
- City of Hope
- Florida Atlantic University
- Forschungszentrum Jülich
- Free University of Berlin
- Heidelberg University
- Indiana University
- King Abdullah University of Science and Technology
- King's College London
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Mathjobs.org
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- McGill University
- Michigan State University
- National University of Singapore
- New England HERC
- Northeastern University
- Pennsylvania State University
- Pontificia Universidad Católica de Chile
- Rutgers University
- Simon Fraser University
- Singapore Institute of Technology
- Singapore-MIT Alliance for Research and Technology
- St Jude Children's Research Hospital
- Technical University of Denmark (DTU)
- Technische Universität Dresden (TU Dresden)
- The Ohio State University
- University of Basel
- University of California, Los Angeles
- University of Central Florida
- University of Florida
- University of Idaho
- University of Luxembourg
- University of Maryland, Baltimore
- University of Michigan
- University of New Mexico
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of Oslo
- University of Texas Rio Grande Valley
- University of Utah
- Utrecht University
- WESTPRESS GmbH & Co. KG
- 53 more »
- « less
-
Field
-
repositories, GPU computing. Development of agentic workflows for scientific applications. AI methods for CFD and FEM; multiphysics code integration. Experience with open-source fusion engineering codes (FESTIM
-
for tomography, laminography, or a closely related modality. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Excellent written and oral
-
GPU/parallel Python or with modeling disorder and alloys Job Duties Develop and implement methods for disordered and high-entropy systems in the PAOFLOW framework, including Hamiltonian construction
-
. Experience with xarray and scalable scientific-data workflows using Dask and NetCDF or Zarr datasets. Experience with GPU or distributed training and familiarity with agricultural or environmental
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
, QUDA , Grid) and GPU computing. Experience with statistical analysis of large Monte Carlo datasets, including inverse-problem and Bayesian methods. Experience using DOE computing allocations ( NERSC
-
programming with one or more common parallel programming models, like MPI or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively
-
Postdoc in AI-driven design of environment-responsive antibodies and nanobodies - DTU Bioengineering
practical experience in deep learning Has hands-on experience developing generative models Is highly proficient in Python, PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU
-
principles and research data management. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific
-
Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen | Denmark | about 2 months ago
Strong foundation in bioinformatics and machine learning, including deep learning Experience training and running models on shared HPC clusters and remote GPU servers, including working in multi-user
-
Experience with medical AI applications, particularly oncology, genomics, imaging, or clinical NLP is a plus, but not required Experience with scalable ML infrastructure, multi-node GPU training, or