21 machine-learning "https:" "https:" "https:" "https:" positions at Montana State University in United States
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virtual reality, data science, artificial intelligence, and machine learning. A video production studio will be available, as will an audio recording facility. Some of the spaces will be designed
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are designed to develop students into self-sufficient and empowered seekers, users, and creators of information. We aim to engage users by modeling the pursuit of knowledge and lifelong learning. We acknowledge
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Statement Montana State University seeks qualified individuals to provide non-tenurable level instruction and/or related functions. Instructors are needed to teach classes depending upon need and available
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University seeks qualified individuals to provide non-tenurable level instruction and/or related functions. Instructors are needed to teach classes depending upon need and available funding. Applications
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individuals to provide non-tenurable level instruction and/or related functions. Instructors are needed to teach classes depending upon need and available funding. Applications are accepted on a continual basis
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. Experience in, or willingness to learn data-driven approaches, including artificial intelligence (AI) and machine learning (ML) models, to solve problems. The Successful Candidate Will A curious scholar with a
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hazards and unsafe operation of equipment and be able to instruct students in proper use. Understand both High school and college rules and regulations. Identify improper technique and machine use and
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individuals to function as network generalist. Students will learn to work on computer hardware, software and applications; local area (LAN) and wide area (WAN) networking; principles of information systems
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Instructor Working Title Electrical & Computer Engineering Non-Tenure Track Faculty (Applicant Pool) Brief Position Overview The Electrical & Computer Engineering Department is seeking professionals to serve
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that are taught on a regular basis. Please refer to http://www.cs.montana.edu/courses.html for an overview of our courses. Faculty Tenure Track No Faculty Rank Non-Tenure Track Position Number 4A6136 Department