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Learning Course Description: Machine Learning applications are increasingly utilized to make crucial decisions in many sectors of our economy and society. These include, but are not limited to, healthcare
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
Mississauga (UTM) invites applications for a full-time tenure stream appointment in the areas of Machine Learning, Applied and Theoretical Statistics. The appointment will be at the rank of Assistant Professor
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emerging technologies such as machine learning and artificial intelligence. In addition, the ideal applicant will have excellent communication skills and have demonstrated capacity and aptitude for effective
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, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our world
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of Professor, with an anticipated start date of July 1, 2026. We seek candidates conducting research on climate data science that draws together observations, models, and machine learning. Candidates must have a
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(inclusive of PhD and/or post-graduate work) in accelerated research and development in the area of development and application of machine learning/deep learning methods for biological or chemical data
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Experience with designing and delivering data science courses and professional development programs at a post-secondary institution (e.g., programming, data analysis, data visualization, machine learning
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industry/upskilling educational programs, course designs, and developing workshops for STEM subjects, including but not limited to machine learning, robotics, laboratory automation, and materials discovery
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must have earned a PhD degree in Psychology or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek candidates