Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of North Carolina at Chapel Hill
- Duke University
- University of Maryland, Baltimore
- Cornell University
- Rutgers University
- University of Texas at Arlington
- University of Washington
- New York University
- Northeastern University
- Stanford University
- University of New Hampshire
- University of Oxford
- University of Texas at Dallas
- Yale University
- Chalmers University of Technology
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- KU LEUVEN
- Lehigh University
- SciLifeLab
- Singapore-MIT Alliance for Research and Technology
- Stony Brook University
- Texas A&M AgriLife
- Texas A&M University
- University of Alabama at Birmingham
- University of Arkansas
- University of Gdansk
- University of Illinois at Chicago
- University of Massachusetts Chan Medical School
- University of North Texas at Dallas
- University of Utah
- University of Virginia
- Virginia Tech
- Wageningen University & Research
- Washington State University
- 24 more »
- « less
-
Field
-
or population genetics, or a related discipline. You should have relevant coding experience and a strong background in software development, algorithm design, and the production of high-quality scientific
-
analyses of micro-randomized trials and experimental designs for Markov decision processes. The candidate is expected to innovate statistical methods and algorithms, create software implementations, carry
-
This role will be to develop and apply image processing algorithms and software, to process two-timepoint (longitudinal) data from UK Biobank brain imaging. This will involve development of image
-
-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
related quantities obtained from non-local matrix elements, as well as on the development of algorithms and software for large-scale lattice QCD simulations on DOE leadership-class computing facilities
-
Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
-
routine background checks. Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
-processing and machine-learning algorithms that account for skin pigmentation, low perfusion, and motion. Work with UNC clinical collaborators on IRB-approved human-subjects validation studies, including
-
quantitative genetics and maize breeding. -Utilizes skills and knowledge in these and other areas to complete research projects leveraging new data extraction and analysis algorithms and connecting
-
/equilibrium reconstruction from limited, noisy diagnostic measurements. Scenario Optimization: Develop plasma scenario optimization workflows leveraging nonlinear programming, genetic algorithms, and