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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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Postdoctoral position in Plant Evolutionary Genomics and Pangenomics Department of Plant Biology About the position A postdoctoral position in plant evolutionary genomics is available in the Yant
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are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life
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of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life Science applications. Are you as excited about quantum technology and its future
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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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Location ST. LOUIS, MO 63110 Scheduled Hours 40 Position Summary The Carter Lab investigates how evolutionary changes in our DNA gave rise to uniquely human biology. We combine human and ape stem
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of results and preparation of high-quality scientific publications within an interdisciplinary project combining forest genomics, evolutionary ecology and forest disturbance ecology. Applicants should have: a
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The EvOmics group at Aarhus University is seeking a postdoctoral researcher to join an interdisciplinary project that combines plant genomics, artificial intelligence, and evolutionary biology. The
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postdoctoral researcher with a solid background in one or more of the following areas: game theory, optimization algorithms, and numerical methods. The successful candidate will develop efficient algorithms and