426 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" uni jobs at Harvard University
Sort by
Refine Your Search
-
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
-
language, and familiarity with economics, finance, AI, or other business topics Interest in technology and different learning modalities, such as video and multimedia platforms Additional Information
-
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
-
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
-
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
-
and multimedia approaches. Build a connected communications ecosystem that links research, education, and engagement in mutually reinforcing ways. Leverage data, analytics, and audience insights
-
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
-
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
-
education is a plus, but not required. Additional Information Standard Hours: This is a 40 hours/week, overtime eligible position. Expected Offer Range: $65,000 to $68,000 annually, commensurate with
-
on-call. Physical Requirements: Sitting & using near vision for reading and computer use for extended periods of time. Lifting (approximately 20 to 30 pounds), bending, and other physical exertion