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core in Precision Medicine has an opportunity for an experienced Biostatistician to work with an active international research team using advanced methodologies and machine learning. This position offers
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 19 days ago
: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough
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, harvest and store clinical data and methods used to create predictive models (including but not limited to methods associated with machine learning). Furthermore, issues related to delivery of predictive
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with the Academic Plan to improve the student experience, foster interdisciplinary learning, and advance inclusion for underrepresented individuals. The Program Chair position will commence on July 1
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initiatives, or with programming language experience and experience in machine learning and health informatics. An Understanding of the digital health space, is expected but not essential. Good Communication
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, seminars, and workshops. Translate findings for diverse audiences while maintaining scientific rigor. Qualifications: PhD in artificial intelligence, machine learning, cardiovascular medicine, genomics, or a
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and program admission in the School of Social Work. Acts as a key departmental administrative contact to Bachelor of Social Work (BSW), Master of Social Work (MSW), and PhD students in the areas
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Primary Purpose: The Department of Sociology in the College of Arts and Science and the Gwenna Moss Centre for Teaching and Learning invite applications for an Online Facilitator to instruct SOC
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position in experimental chemistry, with a preference for candidates able to teach in the areas of physical chemistry, inorganic chemistry or organic chemistry. The research area is broadly defined and
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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