Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Michigan State University
- Rutgers University
- University of North Carolina at Chapel Hill
- University of Arkansas
- Florida Atlantic University
- Stanford University
- University of Utah
- University of Washington
- Heidelberg University
- Lawrence Livermore National Laboratory
- University of British Columbia
- University of Copenhagen
- University of Gothenburg
- University of South Carolina
- Centre for Genomic Regulation
- Cold Spring Harbor Laboratory
- Cornell University
- EMBL
- Lulea University of Technology
- Pennsylvania State University
- Technical University of Denmark
- Texas A&M AgriLife
- Texas A&M University System
- The California State University
- University of British Columbia - Department of Medicine
- University of California, Berkeley
- University of California, Los Angeles
- University of Central Florida
- University of Colorado
- University of Idaho
- University of Texas at Arlington
- University of Texas at Austin
- VSB-Technical University of Ostrava
- William and Mary
- Zintellect
- embl
- 26 more »
- « less
-
Field
-
· algorithm development and implementation · data visualization [CI1] The postdoctoral fellow may work with one of 23 primary mentors, spanning 7 departments
-
in irrigated agricultural systems. The successful candidate will integrate field-based geophysical measurements with hydrologic data and modeling approaches to improve understanding of water quantity
-
, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
-
of aberrant NR2F1 dosage Design and build an interactive, open-access web platform for visualization and usage of multi-omics datasets Integrate newly generated data with in-house and publicly
-
pathophysiological consequences of aberrant NR2F1 dosage Design and build an interactive, open-access web platform for visualization and usage of multi-omics datasets Integrate newly generated data with in-house and
-
at any time) Job Summary We are seeking a highly talented postdoctoral researcher with experience and interest in state-of-the-art AI technologies, data science, and research software engineering, a
-
visualization, data organization and facilitating communication of results between research teams Active collaboration with experimental research groups working in drug discovery Communication of results in
-
); and data cleaning, visualization, and analyses (R and/or Python). Ability to travel to our field site in Eastern Indonesia and work with our Indonesian-based field team is required. Required
-
and industry collaborators. These deployments generate live data streams and provide a unique foundation for infrastructure-backed digital twins. This position emphasizes real-time rendering, engine
-
infrastructure across gynecologic cancer research initiatives. The fellow will lead the development of multi-omics data integration, interactive visualization tools, and AI-assisted clinical decision