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additionally learn a cutting-edge technique called cyclic immunofluorescence (CyCIF), which allows spatial resolution of different cell states within a tissue in order to understand how tumors are organized and
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for extraterrestrial techno signatures and analysis of data from the Galileo Project observatories. The successful candidate will have access to local computing facilities and will have the opportunity to interact and
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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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or equivalent faculty positions. The program will provide independent NIH research support during this transition in order to help awardees to launch competitive, independent research careers. Prospective
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) that a request has been submitted in response to this FOA in order to facilitate efficient processing of the request. Administrative Review Process: Each IC will conduct administrative reviews
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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