41 postdoctoral-machine-learning "https:" Postdoctoral positions at Cornell University
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Active Learning Initiative (ALI). The Postdoctoral Associate will participate in ALI programming, including weekly fellows’ meetings and program evaluations such as surveys and classroom observations
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-centered learning as well as how students from backgrounds traditionally considered “outside” the academy experience and engage in STEM learning and career training. The postdoctoral associate will
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that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks
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-centered learning as well as how students from backgrounds traditionally considered “outside” the academy experience and engage in STEM learning and career training. The postdoctoral associate will
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next generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML
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courses (approximately two courses per year). Additionally, they will assess the effectiveness of these strategies on student engagement, learning outcomes and sense of belonging. The Postdoctoral Associate
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Postdoctoral Associate in History of Art The Department of History of Art & Visual Studies at Cornell University (https://arthistory.cornell.edu) invites applications for a two-year Postdoctoral
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Postdoctoral Associate to begin July 1, 2026. The one-year term position is renewable for an additional year based on performance and is part of Cornell’s Active Learning Initiative . This initiative supports
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Cornell University, Department of Global Development Position ID: Cornell-Department of Global Development-PDA [#30767, WDR-00051028] Position Title: Position Type: Postdoctoral Position Location
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related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate researchers across multiple universities and organizations