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Field
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, evolutionary, computational), applied mathematics, physics, computational science, statistics, or related field. In the appointment process, special attention will be given to: Documented ability to conduct high
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. The ideal candidate should be highly motivated and eager to work on evolutionary and biological problems through the use and development of computational and statistical approaches. The candidate will analyze
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) Application Deadline 28 Feb 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Postdoctoral Researcher in Integrative Evolutionary Cell Biology (ERC Project IntEvoCell) University of Helsinki – Helsinki Institute of Life Science (HiLIFE) / Faculty of Biological and
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, University of Coimbra III- Scientific supervision/coordination of the grant: Fernando Jorge Penousal Martins Machado IV - Work Plan / Goals to be achieved: Evolutionary Computation-Based Exploration
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of Researchers (Charter and Code). Please, check out our Recruitment Policy The role We are seeking a highly motivated computational postdoc to work on comparative single-cell genomics. The successful candidate
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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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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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Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied Math, or related field. Strong coding/computing skills. Familiarity or strong interest in the analysis of pathogen genomic