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immunofluorescence and antibody validation Immunofluorescence staining of tissues, microscopy, image analysis Contribute to general lab tasks Maintaining accurate and detailed records of experiments Basic
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the Department of Environmental Health at Harvard University has openings for highly motivated postdocs to develop and apply novel computational approaches for next generation sequencing data analysis
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Health’s Department of Biostatistics is seeking a highly motivated postdoctoral research fellow to pioneer cutting-edge statistical and machine-learning approaches for the analysis and synthesis of diverse
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are both encouraged to apply. Candidates with strong expertise in machine learning, quantum information, and/ or data analysis are strongly encouraged to apply, as these skills will be preferred in
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information, and/ or data analysis are strongly encouraged to apply, as these skills will be preferred in the selection process. This appointment duration is up to three years, with reappointment contingent
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. The successful candidate will work with Dr. Rong Ma on computational or theoretical research projects surrounding integrative single-cell omics analysis, manifold learning, and high-dimensional statistics. Basic
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the generation of iPS cells. -Embryo manipulation/in vitro fertilization techniques. -Developmental neuroscience. -The biology of aging. -Preparation and analysis of next generation sequencing studies
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invites applications for a Postdoctoral Fellow position. The Cohen Lab develops and applies new tools to study biology. We push the limits of physics and chemistry to make measurements in previously
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the pseudostratified architecture found in epithelial tissues, and how the architecture is exploited for various functions such as morphogenesis, organ development, and tissue fate. We use diverse model organisms
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. The researcher will take primary responsibility for one or more of the following projects, depending on their interests and qualifications: (i) engineering robust strains of light-attracted, light-indifferent, and