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, biology, biomedical science) or equivalent training and experience. – Experience in a clinical or research setting involving direct interaction with patients is an asset. – Experience with clinical
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, including parsing and processing large document corpora. Strong understanding of machine learning or AI methods applied to health or biomedical data. Demonstrated ability to assess model outputs, identify
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Mechatronics and Robotics, Clean Energy Systems, Biomedical Systems, Aerospace and Advanced Vehicles is demonstrated in vibrant undergraduate and graduate curricula that expose our students to cutting-edge
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The Burroughs Wellcome Fund is committed to fostering the development of the next generation of biomedical scientists and is committed to supporting degree-granting institutions to achieve
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Assistant Professor- Health Informatics and Translational Digital Health Systems and Policy Research
QUALIFICATIONS The University of Toronto requires that candidates must have a PhD at the time of appointment, in one of the following fields: Health Informatics, Biomedical Informatics, Information
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opportunities for collaboration with experimental neuroscience, experimental and theoretical physics and biomedical and electrical engineering. The applicant will have evidence of effectiveness in teaching and
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University of Victoria | Victoria Central British Columbia Provincial Government, British Columbia | Canada | about 2 months ago
, and over 140 graduate students. Industrial collaboration enriches our teaching and research activities, and our expertise in Clean Energy Systems, Biomedical Systems, Aerospace, Advanced Vehicles
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largest and most collaborative biomedical research ecosystems. Toronto is a vibrant, safe, multicultural city with an exceptional quality of life. HIRING SALARY RANGE The anticipated salary range
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, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making
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Centre (https://www.mcgill.ca/engine/), in collaboration with the Clinical Innovation Platform at the Research Institute of the McGill University Health Centre (CLIP - https://rimuhc.ca/clinical-research