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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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related quantitative field for a one-year Postdoctoral Research Fellow position. This position involves developing new theory and methods at the intersection of causal inference and network science
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scientists, engineers, and/or doctors! The lab is committed to fostering lifelong learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https
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for data quality, record-keeping, and rigor are required. The successful candidate will work with Drs. Jennifer and Alon Oyler-Yaniv to develop an independent research project within the scope of the lab’s
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Engineering at Harvard University seeks outstanding postdoctoral fellow applicants to join a collaborative research team focused on developing screening technologies, specifically to develop a massively
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the possibility of extension. For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu For questions, please email mweber
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membranes. Please see https://blacklow.hms.harvard.edu/ for additional information on areas of research. We welcome applications from recent PhD graduates who are interested in these or related fields
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screening (e.g., CRISPR-based or related screening approaches), viral infection models, and insect or arthropod cell culture systems. The successful candidate will work with Norbert Perrimon to develop and
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for candidates with interests in multiscale simulations of complex physical phenomena, from the atomistic/electronic scale to mesocopics and beyond. Of particular interest is the development and application
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Lab in the Department of Immunology at Harvard Medical School, Boston, Massachusetts. The work of the Merkenschlager Lab focuses on germinal center interactions and how they promote the development