462 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at Harvard University
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time management and organizational skills; able to manage multiple priorities in a fast paced, customer focused environment General computer proficiency, including Microsoft Word, Excel, Access, Yardi
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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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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
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in linguistics, with a focus on teaching and advising in formal semantics. The ability to teach and advise students in another area in addition to semantics is a plus. The lecturer will be responsible
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tenured professor in American Politics. The appointment is expected to begin on July 1, 2026. The professor will teach and advise at the undergraduate and graduate levels. Basic Qualifications Candidates
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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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desired. Special Instructions Required materials, to be submitted through the ARIeS portal (https://academicpositions.harvard.edu/postings/15712 ): 1. Cover letter 2. Curriculum Vitae 3. Writing sample
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languages. Special Instructions Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu ). Candidates are encouraged to apply by February 28, 2026; applications
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of the Ancient Near East (HMANE), the Collection of Historical Scientific Instruments (CHSI), and the Peabody Museum of Archaeology and Ethnology (PMAE). To learn more about HMSC's mission, objectives, and core
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supervision and mentorship of Dr. Zitnik, the Associate will: 1) Explore and learn about state-of-the-art techniques for constructing, maintaining, and contextualizing biomedical datasets by reviewing recent