410 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" "Dip" uni jobs at Harvard University in United States
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(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 (the Harvard Kenneth C
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project coordination support, including maintaining the work plan and timelines; organizing meetings; preparing agendas and minutes; and assisting with IRB and data security documentation as needed Perform
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(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 (the Harvard Kenneth C
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Assistant you will: Support the production and logistics for public, community, and campus programs, assisting with content and format planning design, program set-up, and on-the-ground production needs in
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degree preferably in finance or accounting. Exceptional customer service skills required. Must be able to effectively communicate (verbal and written). Computer proficiency in Excel and Word with a strong
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skills. Solid computer skills such as proficiency with Microsoft Office; intermediate to advanced Excel skills required. Demonstrated knowledge of financial principles, budget management, and financial
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charge when corrective action is needed. Follows sanitation standards in compliance with all regulatory agencies including Harvard Environmental Health and Safety regulations. Complies with State
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. Qualifications Basic Qualifications: Minimum of seven years’ post-secondary education or relevant work experience Master’s or PhD in one of the following disciplines: Computational Sciences in either Physics
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at the intersection of research, advocacy, and public engagement, with ambitious plans for growth. The Development Coordinator is a key implementation and operations role supporting IEMI’s growing fundraising program
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research associates to develop and apply theoretical and computational approaches to study complex cell biological systems. The emphasis will be on combining statistical inferences and biophysical modeling