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the job funded 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 A postdoctoral
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computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required. Required skills: · Experience with Python · Experience with
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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
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during a 7-week summer program (June through August 2026). In addition to gaining experience in an active research lab, teacher participants will contribute to developing teaching materials related
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positions available Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project
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Mar 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Date 1 May 2027 Is the job funded 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
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
varies Minimum Experience/Education Ph.D. in Evolutionary Biology, Genomics, Quantitative Genetics, Bioinformatics, Plant Biology, or a related field (completed by start date). Demonstrated experience in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 25 days ago
connected to phylogenetic software, methods and models, molecular evolution, hybridisation and introgression, and the evolutionary histories of eucalypts, viruses, bacteria, and Archaea. The ANU Phylogenomics
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transformative research by applying advanced genomic and transcriptomic approaches to questions in invasive insect biological control. The core of this research program will harness state-of-the-art 'omics