241 information-security "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Fellowship positions at Harvard University
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: Cambridge, Massachusetts 02138, United States of America Subject Areas: Statistics / Machine Learning , Data Science , Statistics Appl Deadline: none (posted 2026/03/16 04:00 AM UnitedKingdomTime) Position
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: Harvard John A. Paulson School of Engineering and Applied Sciences Position Description: The Y-Lab is seeking a postdoctoral fellow for projects in the following areas: Optical-to-optical quantum frequency
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at Harvard Medical School in Boston, Massachusetts. The work of the Gygi lab is focused on developing and applying mass spectrometry-based approaches to the drug discovery pipeline. We welcome applications
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Details Title Postdoctoral Fellow in Artificial Intelligence for Society School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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global cohorts. The postdoctoral research fellow will contribute to multiple research projects by engaging in the following activities: (1) ensuring adherence to data security and the responsible conduct
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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 . Minimum Number of References
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: Harvard John A. Paulson School of Engineering and Applied Sciences Position Description: The Harvard Bionics Lab is seeking a Research Fellow to support experimental and translational research
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Machine Learning Group’s website: https://weber.seas.harvard.edu Contact Email mweber@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent on factors such as
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Fellow) and mid-career scholars/senior scholars (as Visiting Scholar). Scholars who have secured their own funding for 2026-27 are welcome to apply. This is a full-time, immersion research appointment
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solver who wants to be part of a dynamic team. Information about the Church Lab: Learn more about the innovative work led by Dr. George Church here: https://churchlab.hms.harvard.edu/ , https