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degree in Statistics/Economics/Applied Math/Computer Science or related fields Knowledge of regression analysis, statistical inference, familiarity with machine learning/prediction tools Experience with
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angiogenesis 3. Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or biology. All positions require a
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information only on official, secure websites. Learn about updates on NSF priorities and the agency's implementation of recent executive orders . Search Menu Search search Find Funding Funding Search Award
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Details Title Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position
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Harvard community. The fellow will be required to teach one undergraduate course in modern Korean history. The fellow will have the opportunity to present their research through one of Korea Institute’s
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Control Lab at Harvard University, under the direction of Dr. Maurice Smith, is seeking a postdoctoral fellow to study human motor learning and motor control. The lab is in the Harvard Paulson School
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scientific background and to acquire new knowledge and/or technical skills that will enhance his/her potential to become a productive, independent investigator. Foreign Institutions Non-domestic (non-U.S
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also include applicant’s commitment to mentorship and contributing to an effective learning environment) Optional Documents: Relevant publications (up to 3) authored/co-authored by applicant Slide deck
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics