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Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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historians, and American Studies scholars whose work explores the making and meaning of public commemorations, or what we are calling “commemorative acts.” We define commemorations as events, rituals
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may bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with the Principal Investigator Dr. Peter Sorger and Jeremy Muhlich, Director of Software
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(e.g., MATLAB, R, or Stata); · Writing papers for management and economics journals; · Interest in platforms, digitization, antitrust, network effects and/or strategy. Basic Qualifications · A Ph.D. in
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recordings, behavioral training, and visual experimentation, while also developing and testing deep neural network models of visual representation. In short: experiments first, models second. Current and
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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data across multi-institutional research networks, with a focus on the analytical and computational challenges arising in precision medicine, mental health, and biomedical informatics. The postdoctoral
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, working alongside postdocs, research staff, and students, as well as with collaborators and established software development teams. Our interdisciplinary lab represents a convergence of microbial ecology
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in scientific research, which can be evidenced through publications, technical reports, or impactful software projects. Additional Qualifications Interest in applying programming language theory
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of complex systems, networks, and large-scale data Machine learning, generative AI, NLP, or algorithmic decision systems Ideal applicants will have a strong background in operations research, statistics