Sort by
Refine Your Search
-
Listed
-
Employer
- Cornell University
- Oak Ridge National Laboratory
- National Energy Technology Laboratory (NETL)
- University of North Carolina at Chapel Hill
- Argonne
- Virginia Tech
- Iowa State University
- Lehigh University
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- SUNY University at Buffalo
- U.S. Department of Energy (DOE)
- University of Minnesota
- Baylor College of Medicine
- Baylor College of Medicine (BCM)
- Carnegie Mellon University
- Duke University
- Eli Lilly and Company
- George Washington University
- LIGO Laboratory
- Massachusetts Institute of Technology
- New York University
- Pennsylvania State University
- Rutgers University
- Texas A&m Engineering
- The University of Arizona
- University of California
- University of California, Merced
- University of Idaho
- University of Nevada Las Vegas
- University of North Carolina at Greensboro
- University of Texas at Arlington
- University of Utah
- Villanova University
- Zintellect
- 25 more »
- « less
-
Field
-
University We are looking for a highly motivated postdoctoral researcher with a strong interest in optimization. The position will involve the development of novel reformulation and algorithmic methods
-
into an eco-epidemiological network modeling framework and optimization function. 2. Stakeholder Engagement & Focus Group Co-Facilitation (30%) ● Design and lead focus groups, expert elicitations, and workshops
-
systems, predictive modeling, or optimization problems related to packaging or mechanical systems. • Background in logistics optimization, supply chain modeling, or distribution network analysis
-
University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 16 hours ago
No. 1 most affordable institution in North Carolina for net cost by the N.Y. Times and No. 1 in North Carolina for social mobility by The Wall Street Journal — helping first-generation and lower-income
-
Qualifications Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems. Familiarity with uncertainty quantification
-
projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national
-
interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and
-
invites applications for one a 1-year post-doctoral researcher, renewable up to 4 years, for interdisciplinary work applying tile-based programming abstractions to an adaptive mesh refinement computation
-
. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
-
methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis