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of Dr Benoit Gosselin (Université Laval), Guillaume Lajoie (UdeM) and Marco Bonizzato (Polytechnique). It integrates the use of machine-learning approaches to optimize neurostimulation, automation
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of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and
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. The appointment as Director will be for a 5-year-term, renewable following a favourable review. Applicants must have earned a PhD degree or equivalent terminal degree in a relevant field, and have a distinguished
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, food and the environment by examining AI’s role in these areas. In health sciences, interdisciplinary teams involved in the CFREF-funded Brain-Heart Interconnectome program utilize machine learning
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End Date Mar 31, 2028 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff
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to learn diverse techniques that bring together expertise from both labs. Students will learn: Zebrafish neuroscience and the TBI model In vivo two-photon microscopy of blood flow Histological techniques
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University of Northern British Columbia | Prince George North, British Columbia | Canada | about 10 hours ago
. GIS, cartography/geovisualization, machine and deep learning, spaceborne / airborne earth observation and uncrewed aerial vehiclesdrones). Successful candidates will have a strong publication record
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be considered to accommodate candidates as required. To learn more about these options, please contact the hiring team using the contact information below. The Role We are looking for a Senior Coastal
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of sequence-defined polymers such as biopolymers Additional expertise that is desired (but not required): Automation Robotics and automation Machine learning to accelerate the discovery of molecules and
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polymers such as biopolymers Additional expertise that is desired (but not required): Automation Robotics and automation Machine learning to accelerate the discovery of molecules and materials Experimental