393 evolution-"https:"-"https:"-"https:"-"https:"-"VIETNAMESE-GERMAN-UNIVERSITY" positions at Harvard University
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Machine Learning Engineer with advanced expertise to lead development of large language models (LLMs) to advance CCB’s mission to leverage data and computation to transform research and education, and to
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collaboration between The Open Canopy and the Tenement Museum of New York, and other entities. Lead the design and pilot of a specialized professional development experience for Open Canopy teachers. This process
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promote the development of a laboratory program that will lead to independent funding. The scholar will be awarded salary, lab costs, and related expenses over two years.
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communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals. Alumni Affairs & Development (AA&D) Alumni Affairs
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(HALC) is a subsidiary of the University and is currently overseeing the planning and development for the University’s Enterprise Research Campus (ERC) in Allston. The vision for the ERC is to become a
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Qualifications Interest in the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired
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computational biology. Fellows will receive funding for their postdoctoral training and, if eligible, in their early career years as independent faculty. The program includes opportunities for career development
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and Asia. This position offers an excellent opportunity to strengthen skills in primary data collection, advanced statistical analysis, evidence synthesis, proposal development, and scientific writing
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. Collaborate closely with colleagues in Alumni Relations, Alumni and Admissions Marketing & Communications, Media Services, HBS Initiatives, Career and Professional Development, Baker Library, HBS Online, HBS
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interested in bacterial genome wide association, prediction of phenotype from genotype and methodological development around this. We also apply theoretical evolutionary concepts to better understand genetic