Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- ETH Zurich
- SUNY University at Buffalo
- University of Lund
- Yale University
- Argonne
- Baylor College of Medicine
- CEA
- EPFL
- Lawrence Livermore National Laboratory
- Mohamed bin Zayed University of Artificial Intelligence
- SciLifeLab
- Stanford University
- The University of Arizona
- University of Copenhagen
- 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
- 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
- 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
- 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 Idaho
- University of Luxembourg
- University of Maryland, Baltimore
- University of New Mexico
- University of North Carolina at Chapel Hill
- University of Oslo
- University of Texas Rio Grande Valley
- University of Utah
- Utrecht University
- 47 more »
- « less
-
Field
-
, microfluidics, laboratory automation, and GPU computing infrastructure. The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental
-
; while they are trained using GPU-based optimization methods, the actual information processing takes place without a GPU, making them energy-efficient and fast. Diffractive networks are to be designed
-
Vision-Language-Action models and their fine-tuning, evaluation, or extension. Multimodal sensor integration (force, tactile, vision) into policy learning pipelines. GPU-parallel simulation, large
-
King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 20 hours ago
training. Multi-scale imaging: micro-CT, SEM, FIB-SEM, or synchrotron data handling. HDF5 / Zarr data schemas and GPU-accelerated volumetric processing. Published work in generative models, synthetic
-
application of machine-learning pipelines Strong knowledge of software frameworks for implementing GPU-accelerated computations, in particular JAX and PyTorch Knowledge of HPC environments and experience in
-
sciences 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
-
. Experience or training and deploying models on Graphics Processing Unit ( GPU ) hardware. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment
-
Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 18 days ago
, interdisciplinary group. Our offer Computing The department operates Urania, a high-performance cluster with ~6,050 cores; Hypatia, a high-throughput cluster with ~12,000 cores; and two GPU servers
-
( ABD ) status will also be considered (Degree Conferral in Process) Certifications/Licenses Required Knowledge, Skills, and Abilities Experience in GPU programming Experience working in interdisciplinary
-
physics, engineering, computer science, or a related field. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D