196 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "Dr" "UCL" Fellowship positions at Harvard University
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, see the Geometric Machine Learning Group's website: https://weber.seas.harvard.edu For questions, please email mweber@seas.harvard.edu . Applications will be reviewed on a rolling basis. Basic
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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 . Minimum Number of References Required Maximum Number
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team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast-accurate-portable-diagnostics/. What you’ll
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these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with Dr. Kruse to develop an independent research project
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. The successful candidate will work with Dr. Devlin to develop an independent research project within the scope of the lab’s research focus. In addition to carrying out bench research, the successful candidate will
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Qualifications Special Instructions Interested applicants should submit a cover letter, their curriculum vitae, and names of 3 references. Contact Information Dr. Yingzi Yang, PhD HSDM 188 Longwood Avenue Boston
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membranes. Please see https://blacklow.hms.harvard.edu/ for additional information on areas of research. We welcome applications from recent PhD graduates who are interested in these or related fields
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eligible. 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 . Minimum Number
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to bear on the work in the lab. The successful candidate will work with Dr. David Sinclair to develop an independent research project within the scope of the lab’s focus on aging, genetics, and epigenetic
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Postdoctoral Research Fellow position in statistics, genetics, and biomedical AI. The lab develops cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical