Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Argonne
- Nature Careers
- Oak Ridge National Laboratory
- Utrecht University
- Forschungszentrum Jülich
- UNIVERSITY OF HELSINKI
- University of Oxford
- ;
- AALTO UNIVERSITY
- Technical University of Munich
- University of Luxembourg
- University of Texas at Tyler
- Carnegie Mellon University
- Central China Normal University
- Chalmers University of Technology
- Embry-Riddle Aeronautical University
- Genentech
- Georgia Institute of Technology
- Helmholtz-Zentrum Geesthacht
- ICN2
- Imperial College London
- Indiana University
- Institute of Plant Genetics PAS
- Johns Hopkins University
- KINGS COLLEGE LONDON
- Leibniz
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Michigan Technological University
- Northeastern University
- Purdue University
- The University of Memphis
- University of California Irvine
- University of California, Merced
- University of Minnesota
- University of Nevada Las Vegas
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of Virginia
- Virginia Tech
- 30 more »
- « less
-
Field
-
-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
-
. This role will 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
-
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
-
, 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
-
-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
-
spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
-
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 2 months 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
-
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
-
consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in
-
. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC