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soil and crop scientists, GIS specialists, remote sensing experts, and computer programmers. They will be responsible for: Conducting fieldwork using UAVs (drones) to capture high-resolution imagery and
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an interdisciplinary research team. The position is based at the University of Saskatchewan and will involve a mix of independent data analysis, collaborative research activities, and manuscript preparation. The work
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rigorous work and health research with effective knowledge translation. The Partnership brings together policy-makers, researchers and data resources from national and international organizations to address
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environments (namely the Surrey Memorial Hospital NICU-partnering with Ronald MacDonald House). There would be opportunities to work closely with experts and students in the fields of human-computer interaction
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. To learn more about our work environment, colleagues, leaders, students and innovative educational environment, visit www.torontomu.ca , check out @TorontoMet (external link) , @TorontoMetHR (external link
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poisoning in emergency departments using data derived from the Canadian Emergency Department Research Network. The incumbent may also have the opportunity to participate in real-world drug safety and
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flight data analysis, simulation, detector development, and R&D studies. The postdoctoral researcher will be expected to work closely with local graduate and undergraduate students. LEMMA is participating
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Department: Electrical, Computer and Biomedical Engineering Position supervisor: Dr. April Khademi Contract length: 1 year (with possibility of extension) Hours of work per week: 36.5 About Toronto
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emergency departments using data derived from the Canadian Emergency Department Research Network. The incumbent may also have the opportunity to participate in real-world drug safety and surveillance research
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synthesis efforts, in particular developing and updating evidence-based guidelines Coordinating stakeholder engagement activities (e.g., with healthcare providers, patients/public) Preparing regular data