579 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at Harvard University
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) Foundry team and learners on our platform. This key technical role requires hands-on expertise across data science, machine learning, and AI solutions. You will manage the lifecycle of artificial
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, statistics, machine learning, industrial organization, productivity, and economic theory are preferred. Must be able to take complex research ideas, concepts, and methodologies and apply them to new projects
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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
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management skills. Learn more here: https://itacademy.harvard.edu/ . Job Description Reporting to the Service Owner, CRM Consulting Services, the Salesforce Developer supports a fast-growing University-wide
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team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast-accurate-portable-diagnostics/. What you’ll
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Please submit the following documents through the ARIeS portal https://academicpositions.harvard.edu/postings/15911 Candidates are encouraged to apply by March 21st, 2026; applications will be reviewed
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through the ARIeS portal https://academicpositions.harvard.edu/postings/15941 . Candidates are encouraged to apply by 27 March 2026; applications will be reviewed until the position is filled. 1. Cover
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PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective
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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu
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correspondence and have strong computer skills. Must have a demonstrated ability to work collaboratively in a team environment with multiple staff members. Must be able to handle complex and confidential materials