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for scaling new models of care. The course explores how data and AI coordinate people, processes, and technology to support behavior change, precision care pathways, and continuous service improvement. Case
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not required): Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools Experience with PyTorch and/or TensorFlow, experience with databases and high
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technology development are deeply valued. The successful candidate must have a Ph.D. in a relevant field by the time of appointment and a demonstrated record of excellence in research and teaching. We
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the direction of the Principal Investigator, the position provides technical and administrative lab support in a large research group that is based in Arts and Science but with deep connections to Engineering
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technology development are deeply valued. Applicants must have earned a PhD in a relevant field with a clearly demonstrated record of excellence in research and teaching. We are particularly interested in
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processing, development of ML prediction tools Experience with PyTorch and/or TensorFlow, experience with databases and high-content imaging platforms Familiarity with generative modeling Experience with
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, concise, non-conflicting requirements from subject matter experts who may or may not understand how technology can be used to positively transform the business process. Your responsibilities will include
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with our interdisciplinary team of scientists and engineers. Responsibilities include but are not limited to Experimental Design and Execution, Computational Modeling, Prototype Development, Data
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: Edward S. Rogers Sr. Department of Electrical and Computer Engineering Campus: St. George (Downtown Toronto) Description: The Edward S. Rogers Sr. Department of Electrical and Computer Engineering (ECE) in
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the field. Students will engage with industry partners, and work through a process that results in a functional prototype. The resulting designs are assessed on their engineering quality and design