244 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at Cornell University in United States
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Machine Learning , Social Sciences , Biomedical Informatics , Causal Inference , Computational Social Science , Data Science and Information , Data Visualization , Deep Learning , High dimensional Data
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conferences to stay current in the research field · Enhancing technical skills through continuous learning of new methodologies, software, or statistical techniques Required Qualifications · Ph.D
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Assistance program Follow this link for more information: https://hr.cornell.edu/understand-your-benefits Employees are expected to meet all of the Cornell University Staff Skills for Success , which
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. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: • Developing machine learning, optimization, or simulation models to improve clinical operations
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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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opportunity) must apply online via his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact Jane Pearson, Association HR Coordinator at 315-788-8450 with questions
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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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, comfortable, and purposeful living and learning environment aligned with university values and learning goals. Through partnerships with university faculty and staff, we foster students' personal growth
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capacity to learn new skills. - Proven ability to independently conceptualize research questions and drive projects forward. - Excellent organizational, communication and time management skills. Preferred
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) of expertise, teaching in The Peter and Stephanie Nolan School of Hotel Administration, and service to the Area, School, and College. It is also expected that our faculty teach across multiple schools