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, optimized, and used successfully. Minimal modification of these materials may be required to update them for use this year. Application Procedure: Applications should include a single PDF with the following
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for this position is $145,000–165,000 per year, commensurate with qualifications and experience. APPLICATION PROCESS Applications must be submitted electronically through Interfolio by August 7, 2026 (https
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Position Description Assistant Professor in Statistics (2-year Contractually Limited Appointment) McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga
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for $3.30 per hour shift premium. Four Day work week with one weekday off. Weekends are off, and shifts are during day (Please note shift schedule can change and overtime work may be required to accommodate
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Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
Artificial Intelligence (AI) for a five-year term. The Department of Medical Imaging, TFOM has 350 faculty members. The Joint Department of Medical Imaging (JDMI) is comprised of 100 academic radiologists with
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pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada’s
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, and show commitment to diversity in their teaching practice. This is a full-time position for an initial term of 3-years, including a probationary first year. Lecturer positions are appointments without
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Position Description The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a three-year full-time contractually-limited term
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. Information on the Department can be found at https://www.uvic.ca/ecs/mechanical/index.php . This research-intensive position benefits from proximity to a thriving local ocean and marine technology cluster
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, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making