20 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Heidelberg University in United States
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thinking abilities. Demonstrated strong commitment to student-centered active learning and student engagement activities. Demonstrated experience, knowledge, and appreciation for a liberal arts tradition
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Heidelberg University is accepting applications for an Assistant Professor of Computer Science and Data Analytics. The successful candidate will be a generalist who can teach a wide variety of
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class in an online learning modality Tools and Equipment Used: Knowledge of operation and use of various office equipment, including, but not limited to: personal computer, including spreadsheet and word
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, caring, loyalty and accountability in all work. Intellectual dynamism – demonstrates mental sharpness, capability and agility. Self-knowledge – gains insight from successes and mistakes. Personal learning
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professional development. Additional responsibilities include service to the School and University. This is a three-year position with the possibility of extension. Essential Duties and Responsibilities: Teach
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community. Supervision Received: Reports directly to the Senior Director of the Owen Center for Teaching and Learning. Supervision Exercised: May supervise interns. Essential Duties and Responsibilities
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Responsibilities: Teach a full-time teaching load (24 credit hours/year) which includes lecture and laboratory courses in anatomy and physiology, cadaver prosection, and other relevant courses in the school
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teaching ability. Essential Duties and Responsibilities: Teach a full-time teaching load which could include: Introduction to Criminology and Criminal Justice, Research Methods and Statistics, Corrections
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. Intellectual dynamism – demonstrates mental sharpness, capability and agility. Self-knowledge – gains insight from successes and mistakes. Personal learning – seeks feedback and counsel to improve managerial
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. Adjunct instructors will teach part-time on an as-needed basis and should be willing to teach in a variety of formats, including in-person, hybrid, and online, and at varied class times that may include