121 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"https:"-"CNRS" positions at Harvard University
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Environment Forum programming. Fellows will receive stipends of $70,000, medical insurance, additional research support of $2,500, and (for those not already in residence in Greater Boston) $1,500 in moving
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Description The Engineering Fellowship Program at Kempner Institute at Harvard University offers a structured opportunity for recent graduates (fellows) to further their experience in AI/ML engineering. The
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administrative and programming support to Faculty Deans. Faculty Deans are responsible for setting a tone for the House that is consistent with the College’s mission and, through personal example and the
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the Data Science Master’s program and the Area Chair in Computer Science based on need and candidate preference and expertise. Assignments will be taken from a set of courses in machine learning and data
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at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology, or related areas Hands-on experience with or a strong interest in bioinformatics programming, including
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Native American Program, and in collaboration with regional and national Indigenous community partners, the fellow will assume mentored responsibility for: (1) advancing research projects, analyzing
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to the breadth of resources and facilities available to members of Harvard University. For more information about the Kempner Institute Research Fellows program, please visit our website at www.harvard.edu/kempner
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collaboration and project management. ● Demonstrated programming proficiency in Python and strong scripting skills (Bash/shell). ● Hands-on experience with structure determination software supporting X-ray
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Environment Forum programming. Fellows will receive stipends of $70,000, medical insurance, additional research support of $2,500, and (for those not already in residence in Greater Boston) $1,500 in moving
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of Research (2 pages): What research do you plan to pursue during the fellowship term? What do you plan to do at each stage, and what particular resources do you intend to use? What are the advantages