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Field
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Degree Doctoral degree in biology, neuroscience, ecology, evolutionary genetics Doctoral degree or degree awarded by Ludwig Maximilian University of Munich and Technical University of Munich Course
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated, productive and
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. Focus on genetics, genomics, evolutionary biology, or computational biology is preferred. Experience with Python, R or a different scripting language is required. Experience with mathematical modeling and
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genomics will be used to address questions relating to evolutionary relationships and biomineralization in Annelida. This position is funded through the Leibniz Collaborative Excellence Programme, with
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from an evolutionary perspective. Successful candidates are expected to synergize with and/or introduce new evolutionary-centric approaches that complement the wide range of biological research areas in
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values of diversity and integrity. You may be a great fit if: You are an experienced evolutionary-developmental biologist with a PhD in molecular biology, adept at computational and functional genomics
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(Department of Biology) Salary: $61,008 About the Job The Postdoctoral Researcher will contribute to an NSF-supported research project examining the long-term ecological and evolutionary effects of biodiversity
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applications from all areas of experimental and theoretical/computational bioengineering. We particularly encourage candidates whose work includes aspects of Device Bioengineering, including but not limited
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 2 months ago
/ evolutionary genetics, theoretical and mathematical biology, and major evolutionary transitions. The program includes a six-month training period followed by a doctoral project of three years. We expect you to
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of Helsinki, Sex Differences in Immunity, led by Dr Piret Avila, which brings together researchers across demography, statistics, evolutionary biology, immunology, and genomics to bridge evolutionary and