691 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "UNIV" positions at Harvard University
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Skills: A background in statistical programming (competency in STATA and R or SAS) and a basic understanding of econometrics or statistics is strongly encouraged. BA or BS, preferably in the field
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degree requirements must be satisfied prior to the fellowship start date and not be more than five years removed from obtaining their PhD. Applicants are expected to have strong analytical and programming
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necessary. Draft, issue, track, and release legal hold notices; monitor acknowledgments and compliance; maintain audit-ready logs Scope, plan, track, and execute targeted and large-scale data collections
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treatment-control interference; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis
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teaching the world about plants. With one of the world's most biodiverse collections of temperate woody plants, combined with world-class scientific resources, and a commitment to diverse programming
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leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description Job Summary: The
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the Chair of the PAB to plan and execute three annual PAB meetings with a two-day agenda of speakers from industry, policy, and academia. The Director will be a member of the GSD’s Department of Urban
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partners, participation in translational strategy discussions, and potential involvement in intellectual property development, startup formation, or partnered research programs Additional Information: We
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, HPLC, and/or capillary electrophoresis are desirable. Strong proficiency with Excel, Word, and familiarity with various Office programs and PC-based operating systems are essential. The candidate will be
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning