Sort by
Refine Your Search
-
Employer
- Texas A&M University
- Stanford University
- Oak Ridge National Laboratory
- Bowdoin College
- Carnegie Mellon University
- Cornell University
- Harvard University
- Princeton University
- University of North Carolina at Chapel Hill
- University of Washington
- Yale University
- Duke University
- Pennsylvania State University
- Argonne
- Brookhaven National Laboratory
- Northeastern University
- University of Miami
- University of Minnesota
- Campbell University
- Loyola University
- Massachusetts Institute of Technology
- New York University
- Purdue University
- Research Center for Molecular Medicine (CeMM), ÖAW
- Saint Louis University
- Texas A&M AgriLife
- Tufts University
- University of Arkansas
- University of California
- University of California Irvine
- University of Connecticut
- University of Florida
- University of Illinois at Urbana-Champaign
- University of Kentucky
- University of Nebraska Medical Center
- University of Texas at Arlington
- Vanderbilt University
- Washington University in St. Louis
- 28 more »
- « less
-
Field
-
Genome Curation Assistant (Jarvis ): an AI system that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting
-
quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
-
the use of machine learning and AI approaches • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets Requirements • The successful applicant will
-
, ventriculomegaly). Experience in machine learning statistical methods. Experience in the acquisition of infant neuroimaging data. Prior experience working with infants and children in a research setting. Enthusiasm
-
applications, and ability to quickly learn and master various computer programs. Must be technically rigorous, organized, and have demonstrated excellence, innovation, and productivity in research. Ability
-
and social data. Minimum Requirements: A PhD degree is required. Preferred Qualifications: Experience with large-scale or high-dimensional datasets (e.g., cohort, registry, or omics data) Familiarity
-
modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the