Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Argonne
- Cornell University
- University of North Carolina at Chapel Hill
- Texas A&M University
- Carnegie Mellon University
- Indiana University
- Northeastern University
- Stanford University
- The Ohio State University
- University of Oregon
- University of Washington
- Baylor College of Medicine
- Boise State University
- Duke University
- Illinois Institute of Technology
- The University of Arizona
- University of California
- University of Florida
- University of Kentucky
- University of Miami
- University of Minnesota
- University of Nevada, Reno
- Auburn University
- Emory University
- Johns Hopkins University
- Lehigh University
- Montana State University
- National Aeronautics and Space Administration (NASA)
- SUNY Polytechnic Institute
- TTI
- Texas A&M AgriLife
- Texas Christian University
- The Rockefeller University
- University of Delaware
- University of Maryland, Baltimore
- University of Massachusetts Medical School
- University of Nebraska Medical Center
- University of New Hampshire – Main Campus
- University of Notre Dame
- University of Richmond
- University of Texas at Dallas
- University of Utah
- University of Virginia
- Wesleyan University
- 35 more »
- « less
-
Field
-
, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
-
data analysis skills including programming in R, Python, or similar, and proficiency in using GitHub and other data management tools; ● Experience summarizing and visualizing data in accessible and
-
livable cities. The ideal candidate would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data
-
applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
-
would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data visualization, and community engagement
-
quantitative modeling and data analysis. Proficiency in at least one of the following: hydrologic modeling, energy systems modeling, systems simulation, or machine learning/AI. Ability to work effectively on
-
through model–experiment validation workflows. Develop and implement advanced data analysis methodologies, automated processing tools, and reproducible workflows to generate validated, publication-quality
-
cell transcriptome (scRNA-seq, multi-omic data, metabolomics) · Experience with immune cell metabolism (Seahorse analysis, metabolism assays, metabolic and immune phenotyping) · Experience with
-
colleagues and stakeholders. Advanced epidemiology training/work experience preferred (e.g., causal methods, longitudinal analysis, life course methods, missing data methods) Prior experience working with