Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Oak Ridge National Laboratory
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Zintellect
- Baylor College of Medicine
- City of Hope
- UNIVERSITY OF HELSINKI
- University of Washington
- Francis Crick Institute
- Harvard University
- Helmholtz Association of German Research Centres
- Lawrence Berkeley National Laboratory
- Rutgers University
- St Jude Children's Research Hospital
- University of British Columbia
- University of California
- University of North Texas at Dallas
- Bangor University;
- Brookhaven National Laboratory
- CNRS
- Cornell University
- Dana-Farber Cancer Institute (DFCI)
- Earlham Institute
- Forschungszentrum Jülich
- Georgia Southern University
- Helmholtz-Zentrum Hereon
- INSA Rouen Normandie
- Lehigh University
- Linköping University (LiU)
- McGill University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Naturalis
- Northeastern University
- Oden Institute for Computational Engineering and Sciences
- Pennsylvania State University
- Purdue University
- SUNY University at Buffalo
- Saarland University
- SciLifeLab
- Stony Brook University
- Swedish University of Agricultural Sciences
- Texas A&M AgriLife
- The Francis Crick Institute
- University of Bergen
- University of Colorado
- University of Florida
- University of Gothenburg/Department of Biological and Environmental Science
- University of Idaho
- University of Lund
- University of Luxembourg
- University of Michigan
- University of Michigan - Ann Arbor
- University of Nevada, Reno
- University of New Hampshire
- University of Oslo
- University of Oxford
- University of Sydney
- Virginia Tech
- 49 more »
- « less
-
Field
-
University of Gothenburg/Department of Biological and Environmental Science | Sweden | about 1 month ago
of processing and analyzing high-throughput genomic data, spatial data (e.g., SDM), and/or big data (i.e., on an HPC cluster). Experience of working in a team. Willingness to mentor undergraduate students
-
(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
-
, vascular biology, or cardiometabolic disease Track record of peer-reviewed publications relative to career stage Experience with multi-omic data integration Familiarity with HPC or cloud computing
-
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
-
-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