Sort by
Refine Your Search
-
Country
-
Employer
- Oak Ridge National Laboratory
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Baylor College of Medicine
- University of Washington
- Helmholtz Association of German Research Centres
- Lawrence Berkeley National Laboratory
- Rutgers University
- St Jude Children's Research Hospital
- UNIVERSITY OF HELSINKI
- University of North Texas at Dallas
- Brookhaven National Laboratory
- CNRS
- Cornell University
- Forschungszentrum Jülich
- Helmholtz-Zentrum Hereon
- INSA Rouen Normandie
- Lehigh University
- Linköping University (LiU)
- McGill University
- Northeastern University
- Pennsylvania State University
- Purdue University
- Saarland University
- SciLifeLab
- Stony Brook University
- Swedish University of Agricultural Sciences
- Texas A&M AgriLife
- University of California
- University of Lund
- University of Luxembourg
- University of New Hampshire
- University of Oxford
- University of Sydney
- Virginia Tech
- 25 more »
- « less
-
Field
-
-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
-
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
-
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
-
system) and disordered materials is also desirable. The project will involve developing autonomous materials discovery workflows on HPC platforms that can learn structure-chemistry-property relationship in
-
, and familiarity with computing in the cloud/on HPC Strong data visualization and communication skills for technical and non-technical audiences Experience with interdisciplinary or collaborative
-
professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division
-
, and familiarity with computing in the cloud/on HPC Strong data visualization and communication skills for technical and non-technical audiences Experience with interdisciplinary or collaborative
-
. Demonstrated track record of publications in the field. Preferred Knowledge, Skills, and Abilities Experience with structural biology, 3D ML and biology specific AI models. Experience with HPC and surrogate
-
of high-quality scientific publications, experience working with real-world health data is a plus Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms
-
. The successful candidate will have access to dedicated high performance computing (HPC) system, multiple Krios TEMs, advanced cryo-FIB-SEM systems including Hydra-bio, Arctics, and Aquilos II with integrated