6 postdoctoral-machine-learning Postdoctoral positions at Cornell University in engineering
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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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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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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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, embracing failure as a learning opportunity, and continuously enhancing our knowledge and methods to tackle local, national, and global challenges. The postdoctoral associate will work directly with both
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Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing
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workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in