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environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
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deployment and sensor data Engage with community partners, carbon credit organizations, and policy stakeholders Prepare technical documentation and guidelines for certification (e.g., for Puro.earth
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
sensing concepts and utilizing remotely sensed data for monitoring land resources and environmental change. Topics include surface-energy interactions, sensor systems, image interpretation, and applications
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of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . HuMBL, a research lab within the SBME, specializes specifically in wearable sensor technologies and algorithm-driven health analytics to enhance
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, or sensor data analysis is a plus. Excellent communication skills and ability to work in a multidisciplinary team. Start Date: Flexible, ideally Summer 2025 Duration of Appointment: 1-year initial
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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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headsets and sensors. - Provides technical support and troubleshooting for media production hardware and software use, including installation, configuration, and maintenance. This may/can include
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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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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