Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- Forschungszentrum Jülich
- ICN2
- Pennsylvania State University
- University of Luxembourg
- ; University of Oxford
- AALTO UNIVERSITY
- Aarhus University
- Carnegie Mellon University
- Central China Normal University
- Centre for Genomic Regulation
- Chalmers University of Technology
- Durham University
- Embry-Riddle Aeronautical University
- Genentech
- Helmholtz-Zentrum Geesthacht
- Imperial College London
- Indiana University
- Leibniz
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- New York University
- Northeastern University
- Purdue University
- RMIT 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 Lund
- University of Michigan
- University of Nevada Las Vegas
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of Oxford
- University of Texas at Tyler
- University of Vienna
- University of Virginia
- Virginia Tech
- 36 more »
- « less
-
Field
-
learning packages (e.g. PyTorch, Keras) Experience with HPC and scientific workflow management tools (e.g. Nextflow, Snakemake) Experience with single-cell data analysis (e.g scanpy, scvi), and/or spatial
-
-CCE Scaling Machine Learning. The HEP Division performs cutting-edge research facilitated through advanced detector development, high-performance supercomputing (HPC), and innovative electronic and
-
via HPC. · Strong writing, communication, and interpersonal skills, including a proven ability to work both independently and as part of a team. Special Conditions Posting Date 12/06/2023 Closing Date
-
modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential
-
Familiarity with structured reasoning, chain-of-thought processes, and agent-based systems is beneficial Strong programming skills (preferably Python); experience with high-performance computing (HPC
-
experience with genomic data. You are confident use of HPC environments, version control and FAIR principles. You have excellent English communication skills and a strong publication record. You fit to us: if
-
scientific computing. Experience running large-scale excited-state simulations on HPC platforms. Excellent record of productive and creative research as demonstrated by publications in peer-reviewed journals
-
of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
-
/TranSIESTA), or Molecular Dynamics (including hybrid QM/MM or ML-IP simulations) - Apply for computational resources in HPC facilities when needed. - Prepare periodic reports of the results and provide
-
conversion systems (e.g., gas turbine combustors, detonation engines, reciprocating engines, etc.) using CFD solvers (e.g., CONVERGE, Nek5000/NekRS, OpenFOAM, ANSYS Fluent, etc.) on large-scale HPC platforms