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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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of this project will be providing external management agencies with robust, high-resolution information on the factors potentially impacting population persistence, which they will then use to make more effective
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on the factors potentially impacting population persistence, which they will then use to make more effective decisions regarding the long-term protection for migratory species. As such, the successful candidate
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to make more effective decisions regarding the long-term protection for migratory species. As such, the successful candidate will work closely with researchers both at Cornell and in partner organizations
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Interaction, Textile Engineering, Fiber Science and Apparel Design, or related field. Proof that all PhD requirements have been fulfilled before the start date is required. · Interest and commitment in
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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) methods
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of postdoctoral associates, PhD students, and several Master’s or undergraduate students across multiple universities and organizations. The research team will work alongside the engineering team to investigate
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). The training program is designed to train the next generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial