672 data-"https:" "https:" "https:" "https:" "https:" "UCL" positions at Harvard University
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Harvard University’s Office of the General Counsel seeks an experienced E-Discovery Project Coordinator to lead e-discovery workflows, administer and manage legal holds, execute defensible data collections
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: Demonstrated abilities in basic laboratory techniques helpful, but not required. Exposure to applicable computer technologies, including specific software applications (Microsoft Office/365), may be required
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at the intersection of technology and public policy. One position will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social
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an inclusive community of dedicated problem-solvers who hold themselves – and one another – to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
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functional neuroimaging, histology and digital microscopy, and behavior analysis. The lab’s websites are: http://hechtlab.org/ and http://caninebrains.org The Evolutionary Neuroscience Lab is supported by
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information, please visit our website, https://cohenweb.rc.fas.harvard.edu. Please note: This position is contingent upon funding and satisfactory performance. Contact Information Joseph Lavin Associate
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, catering, and other set-up needs. May support online learning with remote learning tools such as Zoom and video editing software. Respond to internal and external requests for information and manage faculty
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Laboratory directed by Dr. Capellini and located in the Peabody Museum on Harvard University’s Cambridge, Massachusetts campus. The lab’s website is: http://projects.iq.harvard.edu/evolutionary_genetics/home
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Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines Minimum Number of References Required Maximum
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team of physicians, health policy researchers, health economists, biostatisticians, and data science experts across the Harvard T.H. Chan School of Public Health and Harvard-affiliated teaching hospitals