115 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Cornell University
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opportunity to align with the most relevant academic department in the College of Architecture, Art, and Planning and teach one course per year subject to department needs. The Postdoctoral Associate will be a
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Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four
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Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/31583 ">https://academicjobsonline.org/ajo/jobs/31583 ). Qualified candidates should submit a short cover letter, curriculum vitae, and contact
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Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/31381 ">https://academicjobsonline.org/ajo/jobs/31381 ). Qualified candidates should submit a short cover letter, curriculum vitae, and contact
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at the intersection of educational data science, AI in education, and the learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning
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, and the ability to read related scientific papers on cancer combination therapy. It would also require expertise in relevant AI methodology, such as deep learning architectures for property prediction
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working on their own research and connecting to colleagues across the university. Depending on interests and feasibility, they may be able to teach and/or engage in off-campus fieldwork with Professor
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, systems or molecular biology or related fields. A track record of independence, and a high level of enthusiasm for interdisciplinary research, learning new skills and a demonstrated ability to well as part
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scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex
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Postdoctoral Associate as part of Cornell’s Active Learning Initiative for the AYs 2026 – 2028. We invite applications from candidates with a specialization in any area of History of Art broadly defined, and