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Field
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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Postdoctoral Researcher in Theoretical Evolutionary Biology Modelling the Evolution of Sex-Specific Differences in Life History and Immunity Supervisor: Dr. Piret Avila Faculty of Biological and
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at the IJM. This recently created team studies ancient genomes to better understand human evolution and its implications for biology and health. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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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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transcriptomic data and an interest in evolutionary biology and conservation are highly desirable. Candidates must hold a PhD (or equivalent) in conservation genomics, evolutionary biology, or a closely related
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assistant professor ("post-doc") funded by the National Science Centre in Poland (NCN) is held at the Department of Evolutionary Immunology of the Jagiellonian University, Faculty of Biology. The post-doc
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generation of health data scientists. Areas of expertise include bioinformatics, computational biology, artificial intelligence, network science, Bayesian methods, spatiotemporal methods, visualization
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Postdoctoral Scholar to join Dr. Han Li's laboratory of Metabolic Engineering and Synthetic Biology. This postdoctoral position is available in the area of Integrated Computational-Experimental Enzyme
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oral microbial communities mediate differences in oral and systemic health using an evolutionary health framework. There will be a specific emphasis on applying advanced bioinformatics and statistical