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Job Title: Adjunct Faculty - Computer Information Technology Location: Indianapolis Job Type: Part-time Classification: Adjunct faculty Salary Range: $48.67 Per Contact Hour Reports To: Department
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participate in all aspects of projects on learning and communication in young children. Primary responsibilities will include: ⢠Testing young children using various research methods, such as eye tracking
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the student as specified in the collective agreement Responding to all student queries by phone, e-mail or other method as appropriate within the time frame outlined in the collective agreement. Marking all
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to: Administrative set up and record keeping Initiating and maintaining regular contact with the student as specified in the collective agreement Responding to all student queries by phone, e-mail or other method as
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the collective agreement Responding to all student queries by phone, e-mail or other method as appropriate within the time frame outlined in the collective agreement. Marking all assignments, posting results, and
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Sessional Lecturer - PPG2012H-S-Topics: Applied AI Systems & Governance: Technology, Policy & Practi
assignments. Estimated course enrolment: 25 students Estimated TA support: N/A Class schedule: Mondays 2-4pm *The delivery method for this course is expected to be in-person. Please note that, in keeping with
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-of-the-art computational methods they couldn't otherwise access. You'll be the AI/ML specialist who makes cutting-edge methods accessible and applicable to biological discovery. Key Accountabilities Support
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, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of
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, socialization, personality, and emotional behaviour. Estimated TA support: 75 hours Estimated course enrolment: 60 students Class schedule: Wednesdays and Fridays 10 a.m. - 1 p.m. The delivery method
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clinical healthcare setting. Experience with medical terminology and investigative scientific methods. Preferred Qualifications Education: Bachelor's degree Work Experience: Oncology experience. Experience