94 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions at Cornell University
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partners in the digital health and health delivery ecosystem. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: • Developing machine learning
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and personalized learning experiences Position Summary : This role is ideal for a highly motivated individual who thrives in dynamic environments and excels at translating vision into action. Working
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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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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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, 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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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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This position will not supervise anyone. To apply: Please apply via Academic Jobs Online ( https://academicjobsonline.org/ajo/jobs/31628 https://academicjobsonline.org/ajo/jobs/31628 ">). Qualified candidates
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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