756 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "University of St" positions at Harvard University
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. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Harvard Academic Workers Union
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PLEASE NOTE- Applications MUST be submitted to the Harvard Academic Positions website in order to be considered. https://academicpositions.harvard.edu/postings/15491 The Gravity, Spacetime, and Particle
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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: 16063 School: Faculty of Arts and Sciences Position Description: The Gershman Lab is seeking a Fellow to work on cell biology projects. This one-year position will focus on studies of learning and memory
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behavioral experiments; acquire and analyze relevant data; supervise and mentor undergraduate students and post-baccalaureate fellows; prepare and submit peer-reviewed journal articles; and present their work
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at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
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contact information. Applications will be reviewed on a rolling basis until the position is filled. For more information, please visit our website – https://www.liu-group.org – or contact the department
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include online exhibitions, development of syllabi and lesson plans, a museum and garden tour focused on plants, etc. The Fellow will also teach in the Plant Humanities Summer Program . The Fellow will
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opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits & Wellbeing Page . EEO/Non-Discrimination
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knowledge of Ancient Maya epigraphy. Experience in a research library, archive, special collection, museum, or comparable environment. Strong computer skills, including experience using relational databases