388 computer-"https:"-"https:"-"https:"-"https:"-"IFM"-"IFM" positions at Harvard University
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are looking for people who are/have: Strong computer and analytical skills including extensive prior experience with Excel, and knowledge of PowerPoint and Word Highly organized and detail oriented with strong
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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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Life Sciences Research Foundation: Postdoctoral Fellowships Eligibility: Non-U.S. citizens must work in a U.S. laboratory. Individuals who have held a PhD or MD degree for more than 5 years at the time of application are not eligible. Applicants must complete postdoctoral training in a lab...
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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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, Massachusetts. Since 1989, CBAR and the Harvard T.H. Chan School of Public Health have provided a strong program for growth and professional development for its research staff -- including a defined career path
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in computational social science to lead the technical design and analysis for a new research project examining how individuals navigate the online environment, starting with voter registration and
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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-year postdoc are also welcome to apply. Basic Qualifications Ph.D. in Statistics, Mathematics, Computer Science or a directly related field Additional Qualifications The successful applicant will be
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research compliance environment. This position will directly support this work. As a member of the Research Computing and Data Services (RCDS) team in Library and Research Services (LRS) at the Harvard
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research