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. The project seeks to advance the analysis of dynamical systems through the development of novel techniques in functional analysis, operator theory, ergodic theory, differential geometry, and/or data science
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external fundings when appropriate. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team
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. Knowledge of sustainability reporting frameworks (TCFD, TNFD, etc.) is a plus. Methods: Strong quantitative skills (econometrics, panel/archival data, field or lab experiments, text analytics, use of AI
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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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Computer Science or information Systems (or related fields), high level research skills, as well as a demonstrated ability to work independently. It is a bonus if the fellow has an interest or some
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) for plant protection against root lesion nematodes, including experimental design, laboratory investigations, data analysis and publication of research outcomes. Prepare reports and presentations for industry
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near completion), or equivalent PhD level qualifications. Experience of working in a trial or closely associated research High level analytical capability Ability to communicate complex information
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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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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