Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Argonne
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- Forschungszentrum Jülich
- ICN2
- Pennsylvania State University
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- University of Luxembourg
- University of Oxford
- Utrecht University
- ;
- AALTO UNIVERSITY
- Carnegie Mellon University
- Central China Normal University
- Chalmers University of Technology
- Durham University
- Embry-Riddle Aeronautical University
- Genentech
- Helmholtz-Zentrum Geesthacht
- Imperial College London
- Indiana University
- Johns Hopkins University
- KINGS COLLEGE LONDON
- King's College London
- Leibniz
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- New York University
- Northeastern University
- Purdue University
- Technical University of Denmark
- The University of Memphis
- UNIVERSITY OF VIENNA
- University of Basel
- University of British Columbia
- University of California Irvine
- University of California, Merced
- University of Michigan
- University of Nevada Las Vegas
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of Texas at Tyler
- University of Vienna
- University of Virginia
- Virginia Tech
- 36 more »
- « less
-
Field
-
available codes and existing high performance computing (HPC) infrastructure Identify key physics of the systems through simulations to drive actionable design recommendations Identify gaps between existing
-
-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
-
, or computational biology Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch or TensorFlow, and
-
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 16 days ago
Experience in HPC computation (application and algorithm/code development) Willingness to closely collaborate with experimentalists and theoretician. Joint research approach of all ERC synergy team members
-
involve the development of novel lattice QCD algorithms and high-performance computing (HPC) codes, and/or exploring applications of artificial intelligence (AI) to lattice simulations. The starting date is
-
computing (HPC) development of SeA (in collaboration with the DiStasio research group at Cornell University) and the broader QE package. We also expect this position to offer many other collaborative
-
are comfortable navigating complex HPC environments and wrangling large datasets. You have experience with modelling through state-of-the-art machine and deep-learning methods and with hands
-
geologic media As for programming, we prefer familiarity with MATLAB, Python, and C++. Prior experience with high-performance computing (HPC) clusters and Unix operating systems is advantageous. We welcome
-
-house CFD software packages. (3) Designing and developing CFD sub-models for application to a broad range of CFD problems. (4) Using high-performance computing (HPC) to accelerate complex, large-scale
-
for your research group(s) and improve the use of computing among all group members. Stay up to date with the latest HPC, AI, and general computing/data management practices, evaluate latest developments