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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will study the influence
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) Country Finland Application Deadline 9 Jan 2026 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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the employment length is 3 years. Summary of the project Adaptive phenotypic plasticity—the ability of organisms to modify their traits in response to environmental change—is central to evolutionary
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the field of immunology and infectious diseases. The Key lab is offering a Postdoctoral position in Evolutionary Genetics (m/f/d) – Full-time – – Initially limited to 2 years – We are looking for a highly
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The University of Oulu is a multidisciplinary, international research
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Qualifications: Ph.D., M.D. or equivalent terminal or doctoral degree in Biological anthropology, Ecology, Evolutionary biology, Environmental microbiology, or a related field Experience with field data collection
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several areas of ongoing research in the laboratory, including the isolation and genomic analysis of large DNA viruses, cultivation of diverse hosts, analysis of evolutionary relationships and genomic
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and is one of the leading research institutes in the field of immunology and infectious diseases. The Key lab is offering a postdoctoral position in Evolutionary Genetics (m/f/d) (full-time; initially
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Université de Bordeaux / University of Bordeaux | Villenave d Ornon, Aquitaine | France | about 2 months ago
through the EU Research Framework Programme? Not funded by a EU programme Reference Number GPR Bordeaux Plant Sciences Is the Job related to staff position within a Research Infrastructure? No Offer
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly