Sort by
Refine Your Search
-
Employer
- Stanford University
- University of North Carolina at Chapel Hill
- Cornell University
- National Energy Technology Laboratory (NETL)
- Duke University
- Oak Ridge National Laboratory
- University of Washington
- Yale University
- University of Minnesota
- University of South Carolina
- Carnegie Mellon University
- Princeton University
- University of Miami
- Boise State University
- Loyola University
- Northeastern University
- Pennsylvania State University
- Purdue University
- University of California
- University of Nevada Las Vegas
- Washington State University
- Argonne
- Baylor University
- Harvard University
- Massachusetts Institute of Technology
- New York University
- Texas A&M University
- The Ohio State University
- University of California Irvine
- University of North Carolina Wilmington
- University of Texas at Arlington
- University of Texas at Dallas
- Washington University in St. Louis
- Baylor College of Medicine
- Broad Institute of MIT and Harvard
- George Washington University
- Georgetown University
- Indiana University
- LIGO Laboratory
- Michigan State University
- Northwestern University
- Research Center for Molecular Medicine (CeMM), ÖAW
- Rutgers University
- SUNY University at Buffalo
- St Jude Children's Research Hospital
- Stony Brook University
- Texas A&M AgriLife
- Texas A&m Engineering
- The University of Arizona
- U.S. Department of Energy (DOE)
- University of California San Diego
- University of California, Merced
- University of Colorado Boulder
- University of Delaware
- University of Denver
- University of Houston
- University of Illinois Chicago
- University of Kansas Medical Center
- University of Massachusetts Chan Medical School
- University of Nebraska Medical Center
- University of North Carolina at Charlotte
- University of Oregon
- University of Pittsburgh, Pittsburgh , Pennsylvania, US
- University of Virginia
- Vanderbilt University
- Virginia Tech
- jobs.ac.uk
- 57 more »
- « less
-
Field
-
Electrical & Computer Engineering Work Location EPIC and Grigg Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time Hours per week 40 Work Schedule Pay Rate
-
Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agomechanism-driven AI and agentic AI frameworks (iGenSig-AI, G2K) that integrate biological knowledge with cutting-edge machine learning to transform omics data into actionable therapeutic insights
-
Department with significant expertise in Machine Learning/AI are available to help provide overall guidance and strategy to the postdoc. Stanford Departments and Centers: Anesthesiology, Perioperative and Pain
-
the application of statistics and machine learning in social science. The position requires no teaching, though teaching opportunities may be provided if requested. When teaching, successful candidates will carry
-
Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
-
of the faculty mentor; and publication of research findings/scholarship during postdoc appointment period. The Coleman lab studies the neurobiology of novelty: how evolution modifies neural circuits to generate
-
to present their work and learn from others. Fellows are also encouraged to engage with colleagues and attend departmental seminars. Applicants must demonstrate outstanding scholarly achievement and promise
-
knowledge in parallel/GPU computing. Job Duties Job Duty Doing research problems in the area of mathematical foundations of data science and machine learning. The postdoc will assist with ongoing research
-
of your compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more
-
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