178 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" positions at Harvard University in United States
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Research Assistant II to significantly contribute to a research program funded by the Welcome Leap, "The missed vital sign", involving the use of human Organ Chips to advance knowledge and development
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of the leadership team and program staff to focus on their core work. This role is integral to our evolving strategy to meet the needs of schools and institutions interested in professional development, collaborative
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of years post 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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the physical and virtual computing environment at CBAR. The IT Manager leads multiple concurrent, complex, and highly impactful projects which will involve the IT Team and other teams such as the Programming
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or computational research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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have capacity and are philanthropic • Researches prospects and program information; performs routine data pulls, reporting, and data analysis as needed using Advance, QlikView, MS Word, and/or Excel
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procedures and train custodians in Green Cleaning techniques in accordance with the FMO Green Cleaning Program. Assigns and supervises work performed by hourly custodial employees and sub-contracted cleaning
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years of related experience, education beyond high school may count toward experience. Experience in Information Science, Data Science, and/or related area of study preferred. Strong knowledge
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years of related experience, education beyond high school may count toward experience. Experience in Information Science, Data Science, and/or related area of study preferred. Strong knowledge