Sort by
Refine Your Search
-
Country
-
Employer
- Oak Ridge National Laboratory
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- CNRS
- NEW YORK UNIVERSITY ABU DHABI
- University of Washington
- Aarhus University
- Baylor College of Medicine
- Helmholtz Association of German Research Centres
- Lawrence Berkeley National Laboratory
- Rutgers University
- St Jude Children's Research Hospital
- THE UNIVERSITY OF HONG KONG
- UNIVERSITY OF HELSINKI
- University of Florida
- University of North Texas at Dallas
- Utrecht University
- AALTO UNIVERSITY
- Brookhaven National Laboratory
- CNRS-LMA
- Carnegie Mellon University
- Chalmers University of Technology
- Cornell University
- Eindhoven University of Technology (TU/e)
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Hereon
- ICN2
- INSA Rouen Normandie
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- KTH Royal Institute of Technology
- Lehigh University
- Linköping University (LiU)
- Loyola University
- McGill University
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Pennsylvania State University
- Purdue University
- Saarland University
- SciLifeLab
- Stony Brook University
- Swedish University of Agricultural Sciences
- Texas A&M AgriLife
- The Ohio State University
- University of California
- University of Delaware
- University of Hull;
- University of Lund
- University of Luxembourg
- University of Maryland, Baltimore
- University of New Hampshire
- University of North Carolina at Chapel Hill
- University of Sydney
- University of Texas at Arlington
- Virginia Tech
- 48 more »
- « less
-
Field
-
structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods, etc. - ML-augmented numerical method development. - High-performance computing (HPC
-
biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
-
-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning. HPC System Co‑Design: Investigate methods through which AI agents guide
-
strong asset; scientific programming in Python and/or C++ and use of HPC resources. Professional Experience: Demonstrated research on spin-orbit torques, evidenced by publications in peer-reviewed journals
-
(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
-
variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics
-
within an environment of doctoral and post-doctoral students, principal research engineers and experienced clinicians. Advanced modern facilities and resources, including Berzelius HPC system, a 300
-
scientists, and beamline scientists to implement these new tools on HPC computer architectures and deliver them as user-friendly software to meet DOE experimental facility needs. We're here for the same
-
-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
-
multi-physics simulations on high performance computing (HPC) and ML Experience working in a multi-disciplinary research environment Special Requirements: Applicants cannot have received their Ph.D