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interfaces. Develops and conducts research projects and protocols, processes and procedures as delegated by the Research Supervisor. Required Skills/Qualifications P.Eng. with Ph.D. related to robotics with
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, human-robot interaction, inequality, discrimination, surveillance, liability, and impact assessments. Teaching Qualification Requirements: At a minimum, a first degree in law. Several years of significant
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Nanostructures and Nanophotonic Devices ; Songrui Zhao ECSE 521: Digital Communications 1 ; Tho Le-Ngoc ECSE 526: Artificial Intelligence ; Jeremy Cooperstock ECSE 554: Applied Robotics ; Hsiu-Chin Lin ECSE 556
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College, Room 1203 Schedule: Tuesday/Thursday, 11:35 - 1:25 Credits: 4 Teaching Qualification Requirements: Education: PhD in biostatistics or statistics Experience: Previous teaching experience. Successful
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research, and community medicine practice) will be presented. Location: EDUC, Room 431 Schedule: Monday/Wednesday, 8:35 to 10:25 Credits: 4 Teaching Qualification Requirements: Education: PhD students in
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regression. Location: RPHYS, Room 115 Schedule: Tuesday/Thursday, 8:35 - 9:55 Credits: 3 Teaching Qualification Requirements: Education: PhD student in biostatistics or in statistics Experience: Successful
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elementary statistical analysis in Epidemiology using software such as STATA and R. Location: EDUC, Room 129 Schedule: Thursday, 11:35 to 12:55 Credits: 1 Teaching Qualification Requirements: Education: PhD
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enrolled in PhD program) or PHD in hand. Experience : University level teaching experience in writing, poetics, composition, or rhetoric preferred Other : Preferred candidates will demonstrate teaching
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University and the MCLIU. Preference will be given to the qualified applicant with the most priority points. Teaching Qualification Requirements: Education : Master’s degree (currently enrolled in PhD program
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enrolled in PhD program) or PHD in hand. Experience : University level teaching experience in writing, poetics, composition, or rhetoric preferred Other : Preferred candidates will demonstrate teaching