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publications, and support the supervision of PhD and Honours students. Key responsibilities will include: Research: Develop and optimise solid acid catalysts and continuous flow processes to convert biomass
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robots, robotic manipulators, or locomotion systems. Knowledge of machine learning, reinforcement learning, imitation learning, or computer vision techniques for robotics applications. Strong analytical
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Contact Information for three referees Please indicate your legal status to work in Canada. All applicants are asked to address the following points in their cover letters: Their synthetic and analytical
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sensing data (satellite, LiDAR, drone or aerial imagery), strong geospatial analytical skills, and proven field and/or laboratory experience in land use change, ecosystem dynamics, biodiversity
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will focus on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions. Candidates with prior experience in process-based modeling/data analytics/deep
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-performance computing and big data analytics PhD must have been received within the last three years. Preferred Qualifications: Demonstrated understanding of model validation, clinical trial design, and causal
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manuscripts and/or revisions) to the top OR journal listed above. • Proficiency in Python, particularly in optimization package usage and data-analytic related tasks. • Proficiency in scientific writing
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and publication. • Analytical: Comfortable with mathematical theory (bounds, stability) and data-driven discovery. • Proactive: Able to bridge the gap between theoretical research and scalable
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. Working closely with the Acute Brain Injury leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets
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predictive control (MPC), data-driven approaches, and physics-informed models. Perform dynamic simulation and techno-economic and environmental assessment under real operating conditions and uncertainty