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program activities and may include training and supervising of teaching assistants or teaching fellows. The position is for three years, with the second two years contingent on a satisfactory performance
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relevant field and the ability to teach effectively in a policy-focused, professional school environment. Applicants should submit a CV and teaching evaluations to https://academicpositions.harvard.edu
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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dynamic ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard
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program activities and may include training and supervising of teaching assistants or teaching fellows. The position is for three years, with the second two years contingent on a satisfactory performance
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. Demonstrated expertise in materials synthesis, development, and characterization, including techniques such as SEM, TEM, XPS, DLS, BET, XRD, TGA, and related methods. Proven ability to translate early-stage
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ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard Business
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and supervising other staff; and develop a self-initiated research agenda related to their HIV and infectious diseases research projects. The position may include statistical methods research
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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computational efforts across multiple labs at Harvard’s Faculty of Arts and Sciences and Medical School. As part of this effort, the Rubin lab is implementing new methods of studying aging in vitro using brain