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as well as Harvard offices/institutional spaces, and commercial real estate portfolios Leading community engagement and programming opportunities Managing relationships with external partners and
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Description The Engineering Fellowship Program at Kempner Institute at Harvard University offers a structured opportunity for recent graduates (fellows) to further their experience in AI/ML engineering. The
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. Build sustained student engagement across Harvard through events, co-curricular programming, student groups, study groups, and other community-building strategies, drawing students into exposure to city
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contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and experience building and maintaining research code
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, and/or substantial open-source research contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and
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modern machine learning models Strong programming skills in Python and experience building and maintaining research code Demonstrated ability to use modern AI-assisted and agentic coding tools effectively
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dynamic ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard
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plan and are completed on time and within available resources. Work collaboratively across library units (e.g., Access Services locations, Information and Technology Services (ITS), collection management
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skills: Programming experience in Python and/or R and analyzing NGS/proteomics data is required. Full time, post-university research experience is strongly preferred, however exceptional candidates with
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supervise HGSU-UAW and HAW-UAW student workers and employees on contract provisions, expectations, and compliant supervisory practices. Design, adapt, and deliver training programs for managers and