1,600 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Canada
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of tutorials and class discussions; Consult and communicate with course lecturer; Assist students learning; Effectively communicate with students; Respond to student inquiries by email, myCourses, Microsoft
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lecture and lab learning. Recent clinical laboratory experience in one or more of the following areas is required: Microbiology, Transfusion Medicine, Chemistry, Hematology, Anatomical Pathology. Key
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do so in accordance with the Lifesaving Society and CAR standards. Responsibilities 1. Swim Instruction (75%) Plan and implement swimming lessons in accordance with the Lifesaving Society and facility
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
buildings, as well as from adjacent nearby buildings during off hour and weekend shifts; Reviews computer printouts and alarms and takes appropriate action; Co-ordinates and/or assists outside contractors and
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of Technology (SAIT), we are the shapers. The makers. The originals, driven by a passion for excellence and impact. We offer action-based learning, solution-focused research and enterprising collaborations with
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. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
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and to create innovative learning opportunities for students. Hart House operates from a historic facility on the St. George campus, as well as a 150-acre farm in Caledon, Ontario, offering a wide range
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learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a
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This job requisition is for four (4) vacancies. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning
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candidates whose research develops and applies innovative statistical, machine learning, or AI methods to solve complex problems in biostatistics, epidemiology, public health, or related areas. In accordance