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
-
Functions: Empty heading * Developing new statistical methods to model multimodal neuroimaging data, multi-omics data, electronic health record (EHR) and genetics data which are measured by longitudinally and
-
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
-
) and genetics data which are measured by longitudinally and cross-sectionally. • Developing and applying machine learning and AI approaches to identify interactive topological relationships
-
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
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding
-
closely with a small, dedicated team, you will: Design and implement SLAM-based navigation algorithms for GPS-denied forest environments (45%) Develop multi-sensor integration software for LiDAR, cameras
-
developments, algorithmic implementation, and analysis. Experience with electronic structure and dynamics, non-adiabatic molecular dynamics, and coding is strongly selected for. Please seehttps
-
developments, algorithmic implementation, and analysis. Experience with electronic structure and dynamics, non-adiabatic molecular dynamics, and coding is strongly selected for. Please seehttps