Sort by
Refine Your Search
-
Listed
-
Employer
- University of North Carolina at Chapel Hill
- Argonne
- Oak Ridge National Laboratory
- Stanford University
- University of Kentucky
- University of Miami
- Rutgers University
- Texas A&M University
- University of Minnesota
- University of Texas at Arlington
- Virginia Tech
- Carnegie Mellon University
- Texas A&M AgriLife
- Cornell University
- Lawrence Berkeley National Laboratory
- Montana State University
- SUNY University at Buffalo
- University of California
- University of Colorado
- University of Maryland, Baltimore
- University of Nevada, Reno
- Villanova University
- Zintellect
- Brookhaven National Laboratory
- National Renewable Energy Laboratory NREL
- New York University
- Princeton University
- Rice University
- Saint Louis University
- The Ohio State University
- The University of Arizona
- U.S. Department of Energy (DOE)
- University of Kansas Medical Center
- University of North Texas at Dallas
- University of Virginia
- Washington University in St. Louis
- 26 more »
- « less
-
Field
-
systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
-
capabilities. Key Responsibilities: Capturing requirements and analyzing specifications for future detector systems Performing conceptual design and system-level optimization using emerging computing
-
Science, or a related field Strong programming skills in Python, R Solid understanding of: Machine learning fundamentals Deep learning architecture (e.g., CNNs, RNNs, Transformers) Optimization and model
-
degree and experience in a relevant field. Ideal applicants will have experience in energy-system transition modeling, linear and mixed integer optimization programming, energy-related techno-economic
-
, safety, and compliance. Perform preventive maintenance on laboratory equipment to keep them in optimal working condition. Conduct experiments related to identifying metabolites in plant and biological
-
of the experimental approach will include: Bayesian reconstruction of events on billion-year timescales, determination of optimal embeddings and encodings for protein structures, multiple structural alignments
-
development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
-
, and access world-leading research computing facilities—all while working on problems of genuine national significance. We seek outstanding candidates with broad knowledge of hydrology and water
-
this position can be directed to yahe223@uky.edu . Website http://gluck.ca.uky.edu/ Skills / Knowledge / Abilities The successful candidate will: · Design, implement, and manage independent and
-
advance their knowledge and/or be documented by scientific publications. Primary Duties and Responsibilities: • Works and collaborates on studies related to field of study. • Ensures the design, development