53 evolutionary-algorithm Postdoctoral positions in material-science in United States
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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
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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
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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
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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
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-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
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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
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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
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation
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building autonomous (self-driving) laboratories or integrating instruments with Bayesian optimization or other decision-making algorithms Experience with ROS/ROS2 and with robot arms (UR, FANUC, or similar