Shape the future of data science as a Sessional Lecturer for CHL5223H at University of Toronto. Share your expertise in Bayesian methods and engage students in a energetic learning environment.
Join the Dalla Lana School of Public Health to teach the Applied Bayesian Methods course. This in-person role from January 6 to April 9, 2027, involves delivering lectures, grading assessments, and providing feedback. You will want to bring advanced skills in Bayesian inference and Markov chain Monte Carlo methods, honed through your research and teaching experience.
Key Responsibilities:
• Prepare and deliver 3-hour weekly lectures
• Hold weekly office hours for student support
• Grade assessments and manage course grades
• Engage with students through effective feedback
• Develop course content and syllabus materials
Requirements:
• PhD in Biostatistics, Statistics, or related field
• Advanced understanding of Bayesian methods
• Proven excellence in teaching relevant courses
• Familiarity with complex data analysis
• Ability to commit to an in-person class schedule
Utilize your expertise in Bayesian statistics to enrich student learning at the University of Toronto.
#J-18808-Ljbffr

📌 Sessional Lecturer in Bayesian Methods (Toronto)
🏢 University of Toronto
📍 Toronto