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of squamate reptiles; the largest group of terrestrial vertebrates on Earth today with 11,000 species. A Ph.D. in Evolutionary Biology, Computational Biology, or related fields, is required. The work will focus
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Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research Associate: A PhD (or
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following areas: Computer Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research
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of terrestrial vertebrates on Earth today with 11,000 species. A Ph.D. in Evolutionary Biology, Computational Biology, or related fields, is required. The work will focus on i) phylogenomic inference of hundreds
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] Subject Area: Biology Appl Deadline: 2025/07/22 11:59PM (posted 2025/07/15, listed until 2025/07/22) Position Description: Apply Position Description A postdoctoral position is available in the Schmid lab
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leading center of excellence with a cross-disciplinary research program addressing fundamental questions on the origin, maintenance, conservation and future of life and biological diversity on Earth. Our
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Climate (CMEC; www.macroecology.ku.dk ) and the Section for Biodiversity at the Globe Institute, University of Copenhagen. CMEC is a leading center of excellence with a cross-disciplinary research program
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at the Globe Institute, University of Copenhagen. CMEC is a leading center of excellence with a cross-disciplinary research program addressing fundamental questions on the origin, maintenance, conservation and
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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Evolutionary Intelligence research group for an enthusiastic talented Postdoc (m/f/x) Symbolic explainable AI and user interface design for
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Areas: Computational Science Biology Interdisciplinary Mathematical and Information Science Appl Deadline: (posted 2025/06/22, updated 2025/06/11, listed until 2026/01/01) Position Description: Apply