Sort by
Refine Your Search
-
Listed
-
Employer
- Stony Brook University
- University of Washington
- University of North Carolina at Chapel Hill
- Cornell University
- Rutgers University
- DePaul University
- New York University
- SUNY Polytechnic Institute
- University of Maryland, Baltimore
- University of Oklahoma
- University of Texas at Arlington
- University of Utah
- Washington University in St. Louis
- Baylor College of Medicine
- Duke University
- Georgia Institute of Technology
- Indiana University
- Nature Careers
- North Carolina A&T State University
- Oak Ridge National Laboratory
- University of Arkansas
- University of Kentucky
- University of Nevada, Reno
- University of Texas at Dallas
- Virginia Tech
- Zintellect
- 16 more »
- « less
-
Field
-
algorithms for field theories on quantum hardware. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender
-
testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs
-
techniques, including virus propagation, titration, and genetic manipulation of rotavirus, caliciviruses, and enteroviruses. Conducts AAV transduction experiments for gene delivery in relevant cell models
-
viruses with zoonotic potential. Using data provided by USDA influenza A virus surveillance systems: genetic evolution of IAV will be quantified; genetic predictors of influenza host range and virulence
-
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
-
), to work on problems at the intersection of biology, medicine, mathematics and computation. The successful candidate will contribute to the development of next-generation learning algorithms to understand
-
, 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
-
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
-
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
-
, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal