Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- Purdue University
- University of Texas at Arlington
- Aarhus University (AU)
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Aarhus University
- Iowa State University
- University of Florida
- University of Utah
- CEA
- Carnegie Mellon University
- Francis Crick Institute
- George Washington University
- King Abdullah University of Science and Technology
- University of North Carolina at Charlotte
- VIB
- AALTO UNIVERSITY
- Aalto University
- Baylor College of Medicine
- Cold Spring Harbor Laboratory
- Rutgers University
- Stanford University
- The University of Iowa
- University of California, Berkeley
- University of Colorado
- Vrije Universiteit Amsterdam
- 17 more »
- « less
-
Field
-
calibration approaches and apply machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation
-
automated vehicles; AI or machine learning for transportation; traffic modeling, control, routing, or optimization; transportation digital twins and simulation; vehicle energy modeling; heavy-duty vehicle
-
complex challenges in science, energy, national security, and health. Our researchers develop scalable machine-learning models, deep-learning architectures, and data-driven methods for platforms ranging
-
(ORNL) is seeking a highly motivated Postdoctoral Researcher with expertise in artificial intelligence and machine learning (AI/ML), remote sensing, Earth and environmental sciences, and the analysis
-
and/or ab initio molecular dynamics simulations of liquids; (ii) advanced free energy simulation methods (e.g., meta dynamics, umbrella sampling); (iii) development and/or application of machine
-
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Post Doc in greenhouse gas monitoring Employer Aarhus
-
and conferences. To conduct this work, the successful candidate will use the world's first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
Post-Doc Research Associate Vacancy ID PDS004975 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
-
for successfully generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning
-
expertise in multi-physics FE simulations is preferred. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or