426 computing-"https:"-"https:"-"https:"-"University-of-St" positions at Harvard University
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statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and
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promote the development of a laboratory program that will lead to independent funding. The scholar will be awarded salary, lab costs, and related expenses over two years.
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Executive Education and others. Evaluate and report on program effectiveness, based on both quantitative and qualitative analysis. Serve as a thought partner to the Associate Director in shaping and evolving
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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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virtual event logistics including registration, catering, AV and other duties as assigned Independently manages the admissions process for designated degree program(s), including application review
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, facilities and construction operations. Works closely with senior management, academic and operational personnel to communicate regulatory and university standards, develop program systems and content and
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Lecturer at the Harvard Kennedy School and Director of the Belfer Center’s Defense, Emerging Technology, and Strategy Program. The successful candidate will be interested in national and international
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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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or program platforms 6. Make periodic reports of project status to supervisor or other research team members 7. May instruct other staff and students in basic research methods or techniques 8. Assist
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible