109 machine-learning "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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. For consideration, please click the link below to apply and submit all required application materials (see list below): https://academicjobsonline.org/ajo/jobs/31185 ">https://academicjobsonline.org/ajo/jobs/31185
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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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, and capacity to learn new skills. - Proven ability to independently conceptualize research questions and drive projects forward. - Excellent organizational, communication and time management skills
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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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, 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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, 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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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
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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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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