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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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, 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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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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(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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environments for statistical analysis (e.g., MATLAB, R, or Stata); · Creating and managing very large datasets; · Machine learning skills. Basic Qualifications A Ph.D. in any business discipline
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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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with computer scientists to develop ethics modules for their courses and who are passionate about building a more ethical and responsible computing ecosystem. They need not have computer