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://medicine.yale.edu/profile/steven-k-reilly/(Link is external) Position Summary The Reilly Lab seeks highly motivated Postdoctoral Associates to join an interdisciplinary research program focused on understanding how
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directions while helping transform corals into genetically tractable experimental systems. The Gibson Laboratory focuses on the biology of anthozoan cnidarians, combining developmental biology, evolutionary
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to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation
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scholar will contribute to an exciting research program within the Kennedy Lab, which is interested in somatic mutagenesis and its role in aging and age-related diseases. The chosen candidate will
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on the evolutionary mechanisms of chromosome segregation in mammals, using mouse oocytes, preimplantation embryos, hybrid mouse models, and/or tissue culture cells. Position Number: RC2910 Anticipated Salary: $65,000
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postdoctoral researcher to work on the project “Genomic drivers of climate adaptability and evolutionary diversification in a radiation of Neotropical passerine birds,” funded by the Louisiana Board of Regents
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program in environmental genomics. The postdoctoral researcher will have flexibility to define their own research agenda, but a successful candidate will be broadly interested in contributing to projects
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Doctorate Degree in relevant scientific fields (including but not limited to genetics, genomics, computational biology, biomedical sciences, or evolutionary biology). Previous lab experience Preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
have a strong research background in evolutionary genetics and/or computational genomics. Preferred Qualifications, Competencies, and Experience The ideal candidate will be an individual who is highly
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to have a Ph.D. or equivalent in evolutionary biology, genomics, or related fields. Candidate must have excellent computational and bioinformatic skills as well as strong experience with next-generation