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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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areas like machine learning, artificial intelligence, human-computer interaction, ubiquitous computing, user-experience design, tech-law policy, and much more. IS is located in Cornell’s Gates Hall and a
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research is open; we are particularly interested in those working in the period between 1900 and the present. Open to scholars with PhDs in Science and Technology Studies and related fields whose research
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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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track teaching faculty members who are hired on multi-year appointments with the expectation of renewal and promotion. Candidates for the position should hold a PhD in a computing-related field, have
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-class active-learning activities. Requirements: PhD in Genetics, Genomics, or a similar field. At least 1 years of experience post-PhD in laboratory teaching at college level, or equivalent experience in
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of courses to an extent consistent with the terms of the funding of the position. Required Qualifications: A PhD in Mathematics, Data Science, Computer Science, related STEM fields, or areas of social science
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the societal and human impact of those technologies, allows for new understandings, ethical approaches, and forward-looking technologies. Watch a video about why we're different and learn more about our
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Information Science (Bowers CIS), and the School of Industrial and Labor Relations (ILR). Specializations ranging from mathematical statistics, computational statistics and machine learning to the development
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Professor applicants. However, for exceptional candidates nearing the completion of their PhD, we can provide additional support in the form of a bridging fellowship for postdoctoral training before the start