406 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Harvard University
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at the intersection of technology and public policy. One position will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social
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anticipated teaching needs include: Methods: Data Science Machine Learning Artificial Intelligence Technology and Policy: Cybersecurity and Privacy Space Technology and Policy Biotechnology and Society Product
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Number: 15996 School: Harvard Divinity School Position Description: Harvard Divinity School seeks an adjunct instructor/lecturer in Intermediate Coptic (2nd year of translation study) to teach an eight
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Details Title 2026-27 College Fellows (in multiple areas) School Faculty of Arts and Sciences Department/Area College Fellows Program Position Description Please visit https
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Urban Studies. Especially encouraged to apply are candidates whose work is comparative, transnational, and/or interdisciplinary in scope, and those who can teach a range of geographic areas and historical
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an inclusive community of dedicated problem-solvers who hold themselves – and one another – to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
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-motivated with a strong desire to acquire on-the-job training, to succeed, and to develop intellectual and practical professional skills. Demonstrated ability to work well in teams is essential. This position
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assessed for impact. Responsibilities include: In the MDE Program: Co-teach the spring semester of MDE Studio course (STU 1232) annually. Studio is both a space as well as a pedagogical setting which can
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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of and experience with quantitative methods (simulation modeling, optimization, and machine learning) preferred This is an annual term position reviewed each academic year on or before June 30th, with