342 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Harvard University
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coordination of visits, and compliance with recruiting guidelines May organize and plan logistics for seminars series, research conferences and other unit events Build trust and collaboration by being present
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Institute Faculty and staff to plan, coordinate, and execute events across the Institute. You will coordinate event-related plans, timelines and logistics including location details, speaker arrangements
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and engage the school’s diverse audiences. Identify digital content and storytelling opportunities and plan and produce compelling audio, video, photography, graphic elements, and written content
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needed to cultivate, solicit, and steward donors especially in New York City. May involve international travel depending on prospect assignments. Plan, staff, and brief senior staff for substantive
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Mathematics / Computer Science Position Description Professors Le Xie and Na Li in the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seek a motivated postdoctoral
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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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written skills are required. Ability to plan and manage multiple projects with various stakeholders simultaneously is a must. Ability to perform independently as well as to collaborate with others is
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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sophistication, including strong statistical skills and comfort with large-scale or complex data. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling