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Computational Plant Biology Postdoctoral Associate | School of Integrative Plant Science, CALS Cornell University embraces diversity and seeks candidates who will contribute to a climate that
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agriculture applications. The Postdoctoral Associate will utilize techniques such as: computational and experimental rational design, plasmid construction, analysis of Sanger and Whole Genome sequence data
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group (PI: Marco Fumasoni) at the Instituto Gulbenkian de Ciência in Lisbon, Portugal. This project is funded by the Human Frontier Science Program (HFSP).We are looking for candidates who are interested
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functions: teaching undergraduate and graduate students, researching problems in biology and the environment, and carrying out public outreach to help society implement new knowledge. The Department
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and project progress. Required Qualifications: Ph.D. in Quantitative, Molecular or Population Genetics, Bioinformatics, Computational Biology, Animal Science or other discipline with relevant training
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metabolites. Our group integrates these data with a combination of computational biology, machine learning, and statistical approaches. This position will translate, develop, and deploy genomics pipelines
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of the North American Bat Monitoring Program (NABat), collaborating with partners from the U.S. Geological Survey and the U.S. Fish and Wildlife Service. The project builds on a strong foundation of
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text-based resource to a more data-driven one where appropriate, and avian life history data design and development will be a major focus moving forward. The overarching Postdoctoral Program at
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Post Dr Assoc The O’Brien lab is seeking to welcome a postdoctoral research associate to the group who specializes in bioinformatics and computational biology with experience analyzing microbiome
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on the optimization of the milking process in dairy cows. The focus of this applied program is the impact of milking technicians on udder health. We aim to support science-based development and on-farm implementation