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Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Software Engineering
. An additional two-year renewal may be possible. Applicants must have earned a PhD degree in electrical and computer engineering or a related area by the time of appointment, or shortly thereafter with a
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meetings Participates in team meetings Helps mentor and supervise trainees and students, who are working on related projects Provides other support as required by the research team Qualifications: A PhD/MD
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. Akbarzadeh Department: Bioresource Engineering Position Summary: The primary duty is to support and contribute to ongoing research projects, specifically on the modelling/homogenization and machine learning
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facilitate in person cohorts. Participate in discussion forums with students; attend synchronous sessions and facilitate breakout groups; support asynchronous learning Grade assignments (if needed) Manage
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inclusiveness is practiced. Qualifications Applicants must have completed a PhD in Biostatistics or equivalent discipline. Applicants with experience in Machine Learning, Bayesian Statistics, Artificial
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of three facets of Machine Learning, RL has far broader scope than the narrower tools of supervised and unsupervised learning. RL, being founded on agent design, has the goal of developing artificial
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student - $20/h; PhD student - $23/h + 4% vacation indemnity Hours: Up to 5 hours per week Duration: ASAP to May 15, 2024 Position Context Teaching and Learning Services is seeking currently registered
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cohorts. Participate in discussion forums with students; attend synchronous sessions and facilitate breakout groups; support asynchronous learning Grade assignments (if needed) Manage discussion boards and
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activities. Participate in discussions with students; attend synchronous sessions and facilitate breakout groups; support asynchronous learning. Grade assignments (if needed). Manage CANVAS and online content
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to regulatory networks and circuit design, metabolic engineering, molecular pharming, or RNA biology and applications. The candidate will demonstrate research excellence, hold a PhD or equivalent, and have