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increasing disturbances, such as wildfire and climate change. By integrating field research, remote sensing, and operational forestry insights, this project will generate data-driven tools and practical
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projects and ideas, Taking the lead within these projects, to publish manuscripts as a first author, and to present the data at conferences and lab meetings, High levels of participation in a collaborative
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populations. Additional Information: Annual salary: $70,000 Canadian funds, including benefits. For further information about this position, please contact Prof. Terry Sunderland (terry.sunderland@ubc.ca
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projects include but are not limited to designing, building, testing, and scaling: (1) molecular data storage, and (2) chemical reaction networks. The ability to bring static and dynamic DNA nanotechnology
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to the Faculty of Graduate and Postdoctoral Studies by the application deadline. The application form can be downloaded below under "Further Information". The application form provides instructions
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assessments of cardiorespiratory function and skeletal muscle metabolism during exercise and recovery. Oversee the collection and processing of physiological data using various wearable sensors from
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the collection, processing, and analysis of physiological data from recreational and elite athletes across various exercise protocols. Utilizing machine learning and deep learning algorithms, integrate multi-modal
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of Canada has official travel advisories in place, students are required to request High-Risk Authorization before travelling. For more information, see: https://safetyabroad.ubc.ca or email safety.abroad
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on studying spatial patterns within tundra ecosystems and their role in conferring resilience across the biome. By integrating satellite imagery, aerial photographs, drone data, and in-situ measurements from
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of cardiorespiratory function and skeletal muscle metabolism during exercise and recovery. Oversee the collection and processing of physiological data using various wearable sensors from recreational and elite athletes