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the likelihood of adoption and scale. Qualifications: A PhD or Masters level education with recent experience in clinical and health informatics, preferably in the areas of ICT adoption, implementation, and
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acceptance and adoption in the real-world. Students will use frameworks and techniques for architectural modeling, analysis, and design to understand explainability and fairness in the context of machine
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Estimated TA support: based on enrolment - None Qualifications: A PhD or Masters level education with experience in health informatics and information technology; A robust understanding of EHR
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: Weekly, 2 hours Estimated enrolment: 100 Estimated TA support: based on enrolment - None Qualifications: A PhD or Masters level education with experience in health informatics and information technology; A