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listeners. We are seeking candidates with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have
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support for CSI/NUS investigators. Participate in diverse and innovative projects, applying biological and technical expertise. Contribute to state-of-the-art machine learning/artificial intelligence (ML/AI
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with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have in-depth knowledge in and
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the co-supervision of Prof. Dr. Andreas Héjj, whose academic & scientific profiles are available below: Supervisor: Dominek, Dalma Lilla https://m2.mtmt.hu/api/author/10021367 https
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responsibilities include any or all of the following: 1) participating in the design and build of computer applications (including SMARTonFHIR applications) on topics such as shared decision making, risk score
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Department: Electrical, Computer and Biomedical Engineering Position supervisor: Dr. April Khademi Contract length: 1 year (with possibility of extension) Hours of work per week: 36.5 About Toronto