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Campus Kristiansand. The starting date is negotiable with the Faculty. Responsibilities The position is in evolutionary ecology and centres on a fundamental question: how do natural populations respond
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Department of Organismic and Evolutionary Biology, and The Department Human Evolutionary Biology Position Description The Departments of Earth and Planetary Science, Organismic and Evolutionary Biology
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Evolutionary Understanding of Human Diseases (Apollo). Information on the department can be found at https://globe.ku.dk . Our research The APOLLO Ancient Genomics Initiative is a pioneering
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Campus Kristiansand. The starting date is negotiable with the Faculty. Responsibilities The position is in evolutionary ecology and centres on a fundamental question: how do natural populations respond
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Columbia University - Ecology, Evolution, and Environmental Biology | New York City, New York | United States | 20 days ago
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Assistant Professor of Evolutionary Biology Employer
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evolutionary transitions, machine learning, and genomics to decode pollen evolution and unravel sexual selection mechanisms shared across kingdoms” led by Prof. Tanja Slotte in close collaboration
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anställningen är på heltid. Vänligen se annonsen i sin helhet på engelska nedan. ****** Åbo Akademi University invites applications for a fixed-term salaried position as Doctoral Researche r in Evolutionary
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A PhD position (3 years, with possible extension) is available immediately in the evolutionary genomics group of Henrik Kaessmann at Heidelberg University. Applications will be reviewed on a
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organismal and evolutionary questions. Lead the analysis, writing, and submission of manuscripts arising from the funded project, and present findings at national and international meetings. Mentor
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ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or