Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Cornell University
- University of Washington
- Dana-Farber Cancer Institute (DFCI)
- Duke University
- Harvard University
- Rutgers University
- Stanford University
- Stony Brook University
- University of New Hampshire
- University of North Carolina at Chapel Hill
- University of Texas at Dallas
- Virginia Tech
- Yale University
- Boston University
- Cedars Sinai Medical Center
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- KU LEUVEN
- Lehigh University
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Singapore-MIT Alliance for Research and Technology
- Texas A&M AgriLife
- Texas A&M University
- University of Arkansas
- University of Colorado
- University of Illinois at Chicago
- University of Maryland, Baltimore
- University of Michigan
- University of North Texas at Dallas
- University of Oxford
- University of Virginia
- Washington State University
- Zintellect
- 22 more »
- « less
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
-
· database extraction · data cleaning · analysis · algorithm development and implementation · data visualization [CI1] The postdoctoral
-
work is robustly extending genomic discoveries into under-represented populations, as well as improving portability of genetic risk prediction algorithms into the same populations in anticipation
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
multi-omic data, including microbiome data, would be an advantage. Ability to build algorithms and data pipelines would be ideal. Required Qualifications, Competencies, and Experience PhD in
-
understanding of computational algorithms and statistical modeling and a working knowledge in molecular biology, microbiology, and microbial ecology • possess a working knowledge on genomic sciences and