Sort by
Refine Your Search
-
Employer
- U.S. Department of Energy (DOE)
- Oak Ridge National Laboratory
- Duke University
- Texas A&m Engineering
- Lawrence Berkeley National Laboratory
- National Aeronautics and Space Administration (NASA)
- National Energy Technology Laboratory (NETL)
- University of Arkansas
- University of Kentucky
- University of Oregon
- Claremont McKenna College
- Lehigh University
- Michigan State University
- Pennsylvania State University
- Purdue University
- Stanford University
- Texas A&M AgriLife
- Texas A&M University
- University of California
- University of Chicago
- University of Denver
- University of Maryland, Baltimore
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- Zintellect
- 16 more »
- « less
-
Field
-
requirements, and help mentor other group members. Ability to fill an important role in facilitating collaborations with multi-disciplinary teams. Preferred Qualifications Reliability analysis, regional risk
-
National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 16 days ago
. The Durability, Damage Tolerance, and Reliability Branch (DDTRB) conducts a broad-based research and technology program that quantifies behavior, durability, and damage tolerance of structural materials; develops
-
Postdoctoral Associate, Computational Behavioral Analysis & Digital Autism Research Be You. At Duke, we celebrate individuality, innovation, and the unique perspectives that each member of our
-
National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 4 hours ago
, and critical mineral extraction. The development of accurate models for process design and scale-up requires reliable characterization of material properties relevant to microwave heating. NETL is
-
U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 4 hours ago
the Secretary of Energy and the entire Department of Energy (DOE), providing analysis on domestic energy policy. Its work spans technology policy, infrastructure policy, state, local, tribal, and territorial
-
that learn multiple-state adiabatic potential-energy surfaces, energies, gradients or forces, derivative nonadiabatic couplings, and state-transition behavior from electronic-structure data. Design reliable
-
, development, testing, and commercialization of technologies to advance marine energy as well as next-generation hydropower and pumped storage systems to deliver flexible, reliable energy. Marine energy
-
, development, testing, and commercialization of technologies to advance marine energy as well as next-generation hydropower and pumped storage systems to deliver flexible, reliable energy. Marine energy
-
into the manifestations, causes, and treatment of schizophrenia. Essential Functions: · Developing novel AI/ML methods to improve the accuracy, reliability, and validity of downstream statistical inference
-
Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis