Sort by
Refine Your Search
-
Listed
-
Employer
- Duke University
- Princeton University
- Rutgers University
- Stanford University
- University of Washington
- The Ohio State University
- Argonne
- Nature Careers
- Oak Ridge National Laboratory
- University of Idaho
- University of North Carolina at Chapel Hill
- University of Virginia
- Cornell University
- Northeastern University
- Texas A&M AgriLife
- University of Florida
- University of Kansas
- University of South Carolina
- Yale University
- Angelo State University
- Auburn University
- Cold Spring Harbor Laboratory
- Colorado State University
- Emory University
- Indiana University
- Medical College of Wisconsin
- National Aeronautics and Space Administration (NASA)
- Purdue University
- Texas A&M University
- The University of Iowa
- U.S. Department of Energy (DOE)
- University of California Irvine
- University of California, Los Angeles
- University of California, Merced
- University of Central Florida
- University of Maine
- University of Maryland
- University of Maryland, Baltimore
- University of Miami
- University of Minnesota
- University of Nevada Las Vegas
- University of Nevada, Reno
- University of Oklahoma
- Virginia Tech
- Washington University in St. Louis
- 35 more »
- « less
-
Field
-
relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence Preferred Qualifications, Competencies, and Experience * Writing programs and performing analysis in R and/or
-
implement MR-based simulation platforms for training and process enhancement in remote construction. Apply machine learning techniques for optimizing construction assembly processes, predictive analytics, and
-
, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
-
for design consideration. Irradiated mechanical property prediction models and property correlation metamodels will be developed considering traditional and machine learning approaches. Extrapolation will be
-
of mutual interest such as, but not limited to, automatic machine learning model selection and automatically explaining machine learning classification / prediction results. The Luo lab is in UW Medicine’s
-
methods to improve prediction model generalizability, model fairness, and generalizability of fairness across different clinical sites. The researcher will have the opportunity to use machine learning and
-
psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models
-
psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models