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Candidates MUST meet the following basic qualifications in order to be considered for this role: A minimum of five years of progressive administrative and/or project coordination experience. Computer skills
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, or background in the areas of disability, labor, health policy and/or aging. Must be proficient with standard computer software such as Word, Excel, and PowerPoint. Proficiency in LaTeX encouraged. Must be
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Public Health Academic Pipeline Program in Maternal and Child Health (MCH) of the Harvard T.H. Chan School of Public Health (HSPH) invites applications for a full-time postdoctoral training fellowship
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, account access, collaboration tools, classroom technology, networking, phones and voice mail, IT security, computer asset lifecycle, device lending, shared device and printer support, and classroom and
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research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email mweber@seas.harvard.edu Applications will be reviewed on a
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines Minimum Number of References Required 1 Maximum Number
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. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling, semantic change, or related techniques. Broad interest in cultural evolution, cognitive
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. The postdoc will primarily work on the experimental studies but will also have the opportunity to participate in computational and analytical modeling. This postdoc will also be responsible for reporting
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invite everyone to embrace inquiry, dialogue, and new perspectives on art and ideas. The museums’ global collections encompass a broad range of time periods and geographies. The Fellowship program at