638 machine-learning "https:" "https:" "https:" "https:" "The Open University" "The Open University" uni jobs at Indiana University
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of Sciences at Indiana University Kokomo invites applications for an adjunct (part-time) instructor to teach a 200-level microbiology laboratory course in 2019-20. One of eight campuses of Indiana University
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the Artificial Intelligence program, developing courses for the traditional classroom setting, computer labs and for online education; help setting program and specialization goals, developing and continually
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Visiting Assistant Professor, Department of Psychological & Brain Sciences, Indiana University-Bloomington We seek a Visiting Assistant Professor to teach undergraduate courses in any of the following broad
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the positions are filled. Interested applicants should review the position requirements and apply at https://indiana.peopleadmin.com/postings/30454 . Before a conditional offer of employment with tenure is
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for research and related needs. Interested candidates should review the application requirements and submit their application electronically at http://indiana.peopleadmin.com/postings/31666
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the Biomedical Engineering Program, developing courses for the traditional classroom setting, computer labs, and for online education; help setting program goals, developing and continually updating the curriculum
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the Health Informatics Program, developing courses for the traditional classroom setting, computer labs, and for online education; help setting program goals, developing and continually updating the curriculum
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materials using the online service provided by the AMS at http://www.mathjobs.org . If unable to do so, applicants may send application materials to the address below. · AMS cover sheet · cover letter
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INSTITUTE FOR ENGAGED LEARNING (IN-IEL-IUINA) The Institute for Engaged Learning (IEL) is situated in the Division of Undergraduate Education (DUE). DUE serves as the catalyst for enhancing
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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