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topics and scales. We strive to provide a supportive postdoctoral environment that fosters scientific discovery, collaboration, and professional development. The postdoctoral associate will be affiliated
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world and a suite of associated machine learning tools. The incumbent will be advised by Dr. Laurel Symes (CAPS, [email protected]). Depending on the research direction, collaboration and additional
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of Computing and Information Science under the direction of Principal Investigator Rene Kizilcec. The NTO is a collaboration among Cornell University, Carnegie Mellon University, and the Massachusetts Institute
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are invigorated by the creative potential of our global collections to impact teaching, learning, and research across Cornell University, and to broaden our reach as a world-class academic art museum. The Johnson
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the research group and will work with collaborators at other institutions (nationally and internationally) The successful candidate should have the following qualifications: PhD in Epidemiology, Data Science
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manuscripts • Assist with the development of grant applications • The postdoctoral associate may mentor students in the research group and will work with collaborators at other institutions (nationally and
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are especially excited to hear from candidates eager to invent new tools, wetlab approaches for circulating nucleic acids, interpretable machine learning for biomarker discovery, and methods we haven’t imagined
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biology, collaborating with world-class researchers while working with some of the largest genomic datasets (e.g. Vertebrate Genomes Project (VGP), California Conservation Genomes Project (CCGP) ever
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for the Institute and collaborations with Duffield Engineering faculty interested in engaging in discipline-based education research and/or scholarship of teaching and learning. Postdoctoral associates will join a
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. The postdoctoral associate will be expected to work both collaboratively and independently on research projects, advancing computational methods using machine learning, developing automated pipelines for data