411 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Indiana University
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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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International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation IUSM is committed to being a welcoming campus community and we seek candidates whose research
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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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information for three references to http://indiana.peopleadmin.com/postings/31832 . Applications will be reviewed upon receipt. For Best Consideration Date 02/09/2026 Expected Start Date 04/01/2026 Posting
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to any of the duties listed above here: https://indiana.peopleadmin.com/postings/32134 . Priority consideration will be given to candidates who submit materials before March 1. Appointment term
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vitae. Statement of Research and Teaching/Personal Statement (5-page limit) outlining achievements and goals in teaching, research, and service e.g. https://academicaffairs.indianapolis.iu.edu/Faculty
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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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community service will be expected as appropriate. In addition, the incumbent would provide clinical care for patients with infectious diseases at IU approved locations and will teach medical students
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), Beginning College Survey of Student Engagement (BCSSE), and Faculty Survey of Student Engagement (FSSE). More information about the program can be found at https://education.indiana.edu/programs/higher
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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