6 machine-learning-"https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Cornell University
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. We 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
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comprehensive single crystal / thin film scattering measurements, exploiting developments in artificial intelligence and machine learning. We also invite candidates with interests in beamline automation and
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media, including bird recordings from around the world and a suite of associated machine learning tools. The incumbent will be advised by Dr. Laurel Symes (CAPS, [email protected]). Depending on the
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work plan. They may be pursued individually or in combination, and we welcome other creative and strategic approaches. Statistical or machine-learning approaches that estimate abundance, density, or
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limited to): biophysics, cold atom physics, electronic structure theory, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, and quantum
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large data sets, machine learning, data visualization, and a high level of independence with a publication record to support these skills Excellent written and communication skills, including scientific