632 computing-"https:"-"IDAEA-CSIC"-"https:"-"https:"-"https:"-"https:" positions at Harvard University
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, fast-paced office with friendly and energetic staff. Job-Specific Responsibilities: Strategic Event Planning & Program Development (65%) Develop and lead a comprehensive annual events strategy
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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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(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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-year mid-career program (MC/MPA) and a two-year program. The MC/MPA Program enhances the knowledge and skills of established, high-performing professionals who are looking to advance in their careers
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diplomatic – able to advance projects and work outside of their direct authority by building and maintaining strong internal relationships. Solid computer skills in a PC environment with the capability
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opportunity to shape the future of medicine. About the Family Van: The Family Van/Mobile Health Map Program of Harvard Medical School is seeking a Data & Systems Integration Specialist to implement, promote and
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include quantum information and computer science; quantum many-body physics; quantum precision measurements and fundamental physics; quantum metrology, sensing, and control; and quantum chemistry and
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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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Details Title Postdoctoral Research Position in Time-Domain Astrophysics School Faculty of Arts and Sciences Department/Area Harvard College Observatory Position Description The Center for Astrophysics | Harvard & Smithsonian invites applications for a postdoctoral research position with Prof....
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Knowledge of standard epidemiologic research methods and data science exposure preferred Experience with applicable computer technologies such as Keynote, Adobe, MS Outlook, Word, Excel, PowerPoint preferred