562 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions at Harvard University
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Description The Davis Center for Russian and Eurasian Studies’ Visiting Scholar Program offers comprehensive research, training and professional development opportunities for both junior and senior scholars
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development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits & Wellbeing Page . EEO/Non
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, and light scattering) with modeling of light transport. The postdoc will primarily work on the experimental studies but will also have the opportunity to participate in computational and analytical
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
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. Along with access to Harvard’s library and other resources, the fellowship includes the requirement to teach one course per year, to participate in a fellowship program conference each spring, and an
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Description The Davis Center for Russian and Eurasian Studies’ Visiting Scholar Program offers comprehensive research, training and professional development opportunities for both junior and senior scholars
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the Harvard community more broadly. These duties will include supporting the annual Business History Seminar series, and might include assisting the Business History Review and other activities of the School’s
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to support the position. Basic Qualifications Bachelor’s degree in statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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candidates pursuing experimental research in materials science and engineering, but will also consider strong candidates using theoretical and computational approaches. Relevant backgrounds include materials