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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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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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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
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AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum