401 data-"https:"-"https:"-"https:"-"https:"-"https:"-"J.-F" positions at Harvard University
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for program collaboration. Organizes MEI student-focused activities and events. Works with confidential information to assemble and manage guest lists, biographies, and briefing materials for high-level events
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photography to support HLS editorial projects. Translate data-driven insights into content recommendations and work in partnership with the social media manager and larger digital team to develop ways
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meaningful impact. Wherever you are in your career journey, HLS is a place where you can thrive, contribute, and be part of something bigger. Job Description At the Institutional Data Initiative (IDI) we’re
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the fermentation reactor, and post-incubated organic matter from the microbial fuel cell. Specifically, the technician may be asked to work on running or outsourcing samples to generate data on total organic carbon
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and multimedia approaches. Build a connected communications ecosystem that links research, education, and engagement in mutually reinforcing ways. Leverage data, analytics, and audience insights
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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Information Studies (MLS) and/or in a related field with a focus on Japanese Studies such as anthropology, area studies, art history, history, language/linguistics, literature, political science, religion, and
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languages (C/C++/Fortran/Julia/R) and experience hardening/optimizing research pipelines. Special Instructions Required documents: Curriculum Vitae Cover Letter Names and contact information for three people
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the Salata Institute. Contact Information: Anna Russo. arusso@fas.harvard.edu . Basic Qualifications The ideal candidate should have a PhD in economics, public policy or a related field by July 1, 2026. We
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that are needed for its success. OpenDP is a community effort to build trustworthy, open-source software tools for statistical analysis of sensitive private data, offering the rigorous protections of differential