Sort by
Refine Your Search
-
Listed
-
Employer
- Cornell University
- Rutgers University
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- Stony Brook University
- University of Washington
- Duke University
- SUNY Polytechnic Institute
- University of Utah
- University of Texas at Arlington
- University of Texas at Dallas
- Baylor College of Medicine
- Georgia Institute of Technology
- Indiana University
- National Renewable Energy Laboratory NREL
- North Carolina A&T State University
- Oak Ridge National Laboratory
- The University of Iowa
- University of Miami
- University of Nevada, Reno
- Zintellect
- 11 more »
- « less
-
Field
-
verification algorithms and prototypes on large microgrids, Naval systems, and utility systems. ● Assist grant proposal writing, work collaboratively with industry and government, and mentor graduate
-
interactions, nuclear structure and reactions, electroweak structure, and lepton-nucleus scattering. The candidate will contribute to advancing statistical and computational algorithms to extend the capabilities
-
, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
-
, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
-
working under the supervision of Prof. Jaideep Vaidya (the PI and Director, I-DSLA) to develop and analyze privacy-preserving solutions for biomedical data research, implementing the developed algorithms
-
implement algorithms, models, and software applications that can be translated to clinical use. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be
-
limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
-
with the application of Algorithms, Artificial intelligence (AI), and Machine Learning (ML) methods to accelerate material discovery and design, optimizing manufacturing processes in nanoscience
-
structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
-
the JAX Python library, including efficient implementations of classical numerical algorithms. 2. Extend the hybrid FEA-ML framework to include nonlinear cohesive zone models with simple traction separation