63 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" Fellowship positions at Harvard University
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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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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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, Mathematics, Computer Science or a directly related field Additional Qualifications: The successful applicant will be expected to have a solid technical background, research experiences showing independence and
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: This is a 12-month, full-time position with benefits. Visas may be arranged. You can find more information on benefits for Harvard employees here: https://hr.harvard.edu/health-welfare-benefits. Basic
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PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective
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research experience · Knowledge of building systems · Degree in computer science Contact Information: Marina McLaughlin Contact Email: mclaughl@g.harvard.edu Equal Opportunity Employer: Harvard is an equal
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education in the United States. Connections working at Harvard University More Jobs from This Employer https://main.hercjobs.org/jobs/22174255/postdoctoral-fellow-in-organismic-and-evolutionary-biology Return
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preferential viewing behavior, using large-scale electrophysiology, behavioral experiments, and computational modeling. We welcome applications from recent PhD graduates who are interested in these or related
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email. Contact Information For more information, please visit the AKPIA website https://agakhan.fas.harvard.edu/academics-fellowships or contact Cecily Pollard, Program Administrator, at agakhan
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the possibility of extension. For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu For questions, please email mweber