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include hierarchical regression models, latent factorization models, nonparametric Bayesian models, models for sequential data, mixture models, machine learning algorithms, and robustness to model
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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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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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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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, and Machine Learning. As part of an interdisciplinary research team dedicated to advancing innovation science, the fellows will apply quantitative and experimental field methods to address challenges
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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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(e.g., Stata, Python, or R); Creating and managing very large datasets; Machine learning skills; Designing lab experiments, field experiments, and/or surveys. Basic Qualifications A Ph.D. in operations
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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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around the world are facing dramatic upheaval as a result of rapid technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets
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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