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of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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significantly to the host scientist's project. Experience with the use of computers and other appropriate research tools and equipment to conduct the research. The Institute of Arctic Biology was founded in 1963
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. Some areas of particular interest include: genetics, evolutionary biology, neurobiology, developmental biology, and stem cell biology. Our lab uses both experimental and computational approaches
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group and develop an innovative and impactful research program, which includes, but is not limited to, population and evolutionary genetics, metagenomics, eDNA-based monitoring, and phylogenomics
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scientific predictions. These activities will relate to the central goals of Otárola-Castillo’s laboratory research program on Paleoamerican Climate Change, Foraging Ecology, and Habitat Selection. This work
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omic techniques to study the evolutionary forces and molecular mechanisms that shape complex trait variation. The Phillips Lab also collaborates extensively with clinical and biomedical researchers based
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the Department of Ecology and Evolutionary Biology at the University of Michigan is seeking a Research Lab Technician. The lab focuses on ecosystem ecology, food web ecology, coastal and coral reef ecology, global
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that match the tenure of this role About Us: The Population Biology and genomics Group The Population Biology and Genomics Group is focussed on the ecological and evolutionary dynamics of populations. We