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
-
-series data of astronomical transients, including gravitational wave data analysis. Experience with high-performance or high throughput computing (HPC/HTC). The initial appointment is for 1 year. It is
-
resistance and microbiomes, statistical analysis of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work
-
months or 0.8 FTE for 45 months; access to computational resources (HPC), GIS/data infrastructure, and datasets via collaborative networks; a supportive, interdisciplinary research environment within
-
yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
-
modeling. Perform predictive modeling using high-performance computing (HPC) infrastructure. Validate computational predictions by collaborating with experimental groups conducting reverse genetics studies
-
HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly
-
. outside of HPC environments) Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided
-
discipline. Demonstrated hands-on experience and understanding of developing and applying HPC algorithms to sparse numerical, scientific and ML models. Demonstrated research experience with AI and ML
-
months or 0.8 FTE for 45 months; access to computational resources (HPC), GIS/data infrastructure, and datasets via collaborative networks; a supportive, interdisciplinary research environment within
-
with high-performance computing (HPC) infrastructures is advantageous Excellent analytical and problem-solving capabilities Proven track record of publishing in reputable scientific journals and at