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contributes to a positive and productive work and learning environment. Engages in continuous learning by participating in activities, training, and events related to Indigenous engagement, reconciliation
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or information technology. The course will cover material that is relevant to health informatics and focus on the understanding of hardware and software systems. We will focus on the proper design and
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, integrating and interpreting them across modalities remains a fundamental challenge. The successful candidate will develop computational and machine-learning frameworks for multimodal neuroscience data
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Course Description: In Complexity of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class
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analytics (chromatography, Raman spectroscopy, Surface Plasmon Resonance, etc.) Data analysis Machine learning Additional Information Work Location(s) Number of offers available1Company/InstituteUniversité
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mixed-methods research considered an asset. Experience in dealing with multiple commitments, short deadlines and sensitive clinical or research issues Intermediate or advanced computer skills in
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Tenure-Track Faculty Position in Microelectronics and Photonics (Teaching-Focused) The Department of Electrical and Computer Engineering Stephen J.R. Smith Faculty of Engineering and Applied
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well as part of a team; ability to function effectively during peak busy times.; ability to evaluate the work of others; sound computer knowledge and proficient with Microsoft products. While applicants who meet
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research in cardiovascular and autonomic (i.e., bowel, bladder, sexual and cardiovascular) dysfunctions following SCI Demonstrated expertise in current machine learning techniques applied to biological
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demonstrating clinical techniques, guiding experiential learning, and promoting safe and effective practice using simulation models, cadavers, and live animal experiences. The instructor contributes