588 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Harvard University
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; Geology; Health and Medicine; Mathematics/Statistics; Materials Science and Physics; Psychology and Psychiatry; Technology, Data, and Computer Science; and Zoology.
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builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join the Harvard Faculty of Arts and Sciences? The Faculty of Arts and Sciences
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management and related tasks. Assists with training delivery, as required. Provides periodic reports and metrics to facilitate analysis of safety program status. Provides briefings to key clients and
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, research fellow, instructor, research associate, research scientist, or assistant professor level at any Harvard University School or one of its affiliated institutions.
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communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals. Harvard University Health Services Harvard
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(start date: on or around 06/01/2027), with possible extension contingent on funding. Basic Qualifications PhD in neuroscience, computer science, or related discipline. Additional Qualifications Special
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AphaFold. Knowledge of standard safety regulations and appropriate laboratory practices applying to research in biology and biochemistry Knowledge of computer and MS office software, as well as Mac software
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Director of any funding shortfalls and plan for contingencies Managing agreements with external organizations Assisting faculty, staff, and students in the development and oversight of program, event, and
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research