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About the Role The Postdoctoral Research Associate will develop neurogenic tools in the study species and use them to study evolutionary changes in thermoperception and to relate the differences
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faculty working on questions related to the ecology, evolution and conservation of biodiversity throughout the world, while the associated Interdisciplinary Program in Ecology and Evolutionary Biology links
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Position Title: Postdoctoral Researcher - Evolutionary Genomics and Population Genetics Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: We are seeking a
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About the Role The Postdoctoral Research Associate will develop neurogenic tools in the study species and use them to study evolutionary changes in thermoperception and to relate the differences
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, including world leaders in primate ecology in Evolutionary Anthropology as well as researchers in cardiometabolic health at the Duke School of Medicine, the Duke University Population Research Institute, and
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Required Qualifications PhD in evolutionary biology, ecology, ecological genetics, or a closely related discipline by start date. Demonstrated experience conducting large-scale field experiments. Ability
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related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher in Theoretical Evolutionary Biology Modelling the Evolution of Sex-Specific Differences in Life
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diverse backgrounds to apply for our positions. YOUR PROFILE PhD in statistics, mathematics, biology, evolutionary anthropology or a related field Strong background in statistical and mathematical modelling
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the fields of Biology, Evolutionary Genetics, Evolutionary Ecology, Computational Biology, Veterinary Sciences or related field(s), and no more than two years of postgraduate experience. Experience in
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
project at the interface of directed experimental evolution, microbial ecology, and bioelectrochemical engineering. The project combines laboratory evolution approaches with omics-based analysis