57 evolutionary-algorithm Postdoctoral positions in computer-science in United States
Sort by
Refine Your Search
-
Employer
- Oak Ridge National Laboratory
- University of Washington
- Yale University
- Carnegie Mellon University
- Pennsylvania State University
- Baylor College of Medicine
- Boston University
- Harvard University
- Lehigh University
- Massachusetts Institute of Technology
- National Energy Technology Laboratory (NETL)
- New York University
- Northeastern University
- Rutgers University
- Stony Brook University
- University of Maryland, Baltimore
- Argonne
- Brookhaven National Laboratory
- California Institute of Technology
- Cornell University
- Lawrence Berkeley National Laboratory
- Rochester Institute of Technology
- Texas A&m Engineering
- The University of Arizona
- University of Arkansas
- University of California, Los Angeles
- University of Florida
- University of Illinois at Chicago
- University of Miami
- University of Oregon
- University of Virginia
- Villanova University
- Zintellect
- 23 more »
- « less
-
Field
-
Sign In Create Profile Postdoctoral Research Associate, Ecology & Evolutionary Biology Tucson, AZ, United States | req26894 Apply Now Share Save Job Posted on: 8/26/2026 Back to Search Postdoctoral
-
Requisition Id 16985 Overview: We are seeking a Postdoctoral Research Associate to join a large research team working on the development and implementation of novel algorithms for scientific
-
University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar - Department of Ecology and Evolutionary Biology (JPF11142) Postdoctoral Scholar - Department of Ecology and Evolutionary
-
on the evolutionary mechanisms of chromosome segregation in mammals, using mouse oocytes, preimplantation embryos, hybrid mouse models, and/or tissue culture cells. Position Number: RC2910 Anticipated Salary: $65,000
-
workflows into structured representations suitable for AI planning and optimization algorithms. 2) Research Leadership & Mentorship: * Abstract from the practical challenges presented by the work and
-
, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
-
-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
-
have the opportunity to learn to: Understand viral evolutionary biology and mechanisms of pathogenesis Evaluate host–pathogen interactions, immune modulation, and ruminant immunology Conduct
-
materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt
-
biology, developmental biology, evolutionary biology or a related field at time of hire. Hands-on experience with confocal microscopy. Competence in applied statistics. A record of peer-reviewed publication