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plasticity measured by near infrared spectroscopy after stroke; effect of a virtual rehabilitation program on self-care after traumatic brain injury; use of wearable sensors to inform neurorehabilitation
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rehabilitation program on self-care after traumatic brain injury; use of wearable sensors to inform neurorehabilitation practice; and implementation trials to increase the uptake of technology in clinical
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injury; use of wearable sensors to inform neurorehabilitation practice; and implementation trials to increase the uptake of technology in clinical rehabilitation. GF Strong Rehab Centre is situated in
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developing image analysis and machine learning algorithms and tools for aerial imaging and analysis. You will also contribute to data collection, data curation, and the development of a data portal for project
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application of cellulose nanomaterials for advanced functional systems. Preferred expertise includes biobased triboelectric energy harvesting, barrier coatings for sustainable packaging, wearable sensors, and
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systems. Preferred expertise includes biobased triboelectric energy harvesting, barrier coatings for sustainable packaging, wearable sensors, and related. Experience working in interdisciplinary and
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for sustainable packaging, wearable sensors, and related. Experience working in interdisciplinary and collaborative research environments, including industry partnerships, is highly desirable. A track record of
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Hiring Unit: Prof
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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a training dataset for developing machine learning algorithms for increasing the consistency of quality control in two cohort studies: healthy controls and epilepsy patients. Key Responsibilities