380 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Indiana University
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Interested candidates should submit a C.V., a letter of interest, and contact information for three references. Please submit these application materials to https://indiana.peopleadmin.com/postings/32247
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years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation About the IUSM: IUSM is committed to being a welcoming campus community and we seek candidates whose research
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areas such as artificial intelligence, biosciences, sustainability, health equity, and sports technology. To learn more about campus research initiatives: https://indianapolis.iu.edu/research/initiatives
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Teaching and Mentorship: The successful candidate will teach and mentor students across the department’s undergraduate and graduate programs, with particular emphasis on graduate-level courses, and student
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research agenda using advanced quantitative methods—such as machine learning, computational modeling, big-data analytics, and wearable technologies—to study tourism, hospitality, and/or human performance
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contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout
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to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state
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. The person in this position will be expected to be an engaging teacher committed to high-impact practices and able to teach a range of courses – from first-year freshman to graduate courses – in support of
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insightful, engaged, contextualized, innovative, and inspiring teaching and learning. The new colleague will support continued enrollment growth in the Program. Our faculty and students benefit from our
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welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We