430 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions at Indiana University
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for technology-enabled learning reaching nearly 9,000 participants across 89 counties and 46 states. Global Health Partnerships : Active collaborations with Jomo Kenyatta University (Kenya), Amrita University
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available for this position. To receive full consideration, applications must be submitted online at: https://indiana.peopleadmin.com/postings/ 31940 by February 20, 2026. Application materials should include
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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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, research, and service e.g. https://academicaffairs.indianapolis.iu.edu/Faculty-Affairs/PromotionTenure/guidelines-and-standards Contact list with six references For additional information, please contact Dr
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date you are available to start, and 2) a C.V. or resume, and 3) the contact information for two references. This can be submitted to the following link. https://indiana.peopleadmin.com/postings/31041
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with a benefits package will be offered. Interested candidates should submit a cover letter, CV, and contact information for three references to http://indiana.peopleadmin.com/postings/3 0824
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) Supporting our research compliance associated documentation. (3) Management and analysis of large datasets. (4) Learning, conducting and teaching other lab members our key research protocols. Other general
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. For additional information about the Liao research group, please visit: https://sites.google.com/view/chentingliao/ Department Contact for Questions: Questions regarding the position or application process can be
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cross-disciplinary pathways in areas such as artificial intelligence, biosciences, sustainability, health equity, and sports technology. To learn more about campus research initiatives: https
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are expected to teach at the undergraduate and graduate levels, and collaborate across disciplines to address real-world data challenges. Example areas include, but are not limited to: Machine learning and deep