50 computer-science-programming-languages-"the"-"UCL"-"U"-"O" positions at Harvard University
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and Sciences (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
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created the Environmental Fellows program to enable recent doctorate recipients to use and expand Harvard’s extraordinary resources to tackle complex environmental problems. The Environmental Fellows will
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statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and
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workflows. Basic Qualifications Bachelor's degree in cognitive science, computer science, data science, or a related field At least one year of experience in psychology, linguistics, cognitive science
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Development Program Manager, the Learning and Development Specialist will assist with coordination, design, development, delivery, and measurement of training programs as well as coordinate resources and
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for Science Information Analysis (CSIA) Public Relations Publications Social Media Programs Programs Support for Research Initiatives Grants-in-Aid for Scientific Research Topic-Setting Program to Advance
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and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and computational efforts across multiple labs at Harvard's Faculty
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Code of Conduct Analyze electronic health records, administrative claims, and national survey data Basic Qualifications: Bachelor's degree in statistics, computer science, data science, or closely
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the absence of the Sr. Director, serves as secondary contact for disability related student crises and urgent matters, updating the Associate Dean for Degree Programs, Program Director’s, and others as needed
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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