Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Texas A&M University
- George Washington University
- Oak Ridge National Laboratory
- National Renewable Energy Laboratory NREL
- Nature Careers
- Texas A&M AgriLife
- Aarhus University
- Institut de Físiques d'Altes Energies (IFAE)
- Linköping University
- Lulea University of Technology
- Luleå tekniska universitet
- Technical University of Munich
- University of Kansas
- University of Luxembourg
- University of Washington
- Austrian Academy of Sciences, The Marietta Blau Institute of Particle Physics (MBI)
- Delft University of Technology (TU Delft)
- IMT Mines Ales
- Idiap Research Institute
- Lodz University of Technology
- Massachusetts Institute of Technology (MIT)
- Sandia National Laboratories
- UNIVERSITY OF VIENNA
- University of Cincinnati
- University of London
- University of Silesia in Katowice
- University of Vienna
- WROCŁAW UNIVERSITY OF ENVIRONMENTAL AND LIFE SCIENCES
- Washington University in St. Louis
- 19 more »
- « less
-
Field
-
well as on the physics analysis of the GW data. Required skills and evaluation criteria The successful candidate is expected to have: Physics PHD Internationally recognized experience on research using the LIGO-Virgo data
-
advanced computational approaches, software engineering, high-performance computing, and an understanding of materials science, with an emphasis on metallurgy related to phase transformations and/or
-
in professional organizations Basic Qualifications: A PhD in Mathematics, Applied Mathematics, Computational Science, or a related field completed within the last 5 years Preferred Qualifications
-
Qualifications: PhD in related field (e.g., Kinesiology, Public Health, Psychology). Appropriate research background, as demonstrated by publications in peer-reviewed journals, grant funding, and stature
-
Experience: PhD completed prior to start date in Marketing, Decision Sciences, Psychology, Behavioral Economics, or a closely related field. No experience required. A Well-Qualified Candidate Will Also Possess
-
Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
-
professional, academic, and research organizations. Basic Qualifications: A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage
-
for this position. Skills: Not Applicable Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data
-
funding is available. Actively participates in the preparation of required technical progress reports for research sponsors. Qualifications Appropriate PhD in a related field. Must be able to perform
-
to exceed 6-months. Upon verification of degree, the appointment will be extended to its full duration. Preferred Qualifications Experience with AEM modeling software as indicated in application materials