Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- University of North Carolina at Chapel Hill
- Argonne
- European Space Agency
- NEW YORK UNIVERSITY ABU DHABI
- Oak Ridge National Laboratory
- Technical University of Munich
- Duke University
- Stony Brook University
- Technical University of Denmark
- University of Luxembourg
- University of South Carolina
- Yale University
- ; University of Cambridge
- Brookhaven Lab
- Durham University
- Embry-Riddle Aeronautical University
- Emory University
- Empa
- European Magnetism Association EMA
- Harvard University
- Imperial College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- New York University
- Northeastern University
- Shanghai Jiao Tong University
- Stanford University
- The Ohio State University
- The University of Arizona
- UNIVERSITY OF HELSINKI
- University of Antwerp
- University of Colorado
- University of Minnesota
- University of Minnesota Twin Cities
- University of North Texas at Dallas
- University of Oxford
- University of Texas at Arlington
- VIB
- 29 more »
- « less
-
Field
-
on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use. However, powerful as it is, MagTense is at present limited in its
-
training in the second area are encouraged to highlight this in their application. Experience with high performance computing and GPU acceleration tools (e.g. CUDA) and deep learning frameworks, such as
-
physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the abovementioned fields. What we offer State of the art on-site high performance/GPU compute
-
, Matlab Preferred Qualifications: Experience in thermos-fluids in porous media. Experience in High-Performance Computing (HPC) on CPU or GPU platforms. Experience in mentoring of graduate and undergraduate
-
FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
environment Access to state-of-the-art tools and computational infrastructure, including CPU/GPU clusters Opportunity to contribute to cutting-edge research in plant evolution and genomics Support
-
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
-
in physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the abovementioned fields. What we offer State of the art on-site high performance/GPU compute
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the above mentioned fields. What we offer State of the art on-site high performance/GPU compute facilities
-
proteins to specific locations on the genome. The project involves grid preparation and screening, data collection and image processing using the Emory cryoEM core and our lab’s cluster (200 TB and 8 GPU
-
experience with coding in C++, python/matlab. GPU programming is a definite plus. You have experience in applying deep learning to solve computational imaging problems. Experience with inverse problems such as