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development experience using Python, ROS2 and software engineering techniques. Extensive knowledge of ML, DL and RL tools, theory and applications. Before applying, please note that to work at McGill University
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering
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collaboration with our clinical colleagues for investigating visual motion in a group of healthy subjects. The successful applicant holds a PhD degree (or equivalent) in a relevant academic area such as applied
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efficiency, and integrate innovative solutions. By leveraging advanced optimization tools and engineering methodologies, He/she will ensure the resilience of the supply chain against disruptions while
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a multidisciplinary team. Preferred qualifications: Experience in grinding technology. Familiarity with process simulation software (e.g., USIMPAC, MODSIM, METSIM). Prior collaboration with industrial
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: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and
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: To be eligible you must have completed a PhD in materials science, chemistry, physics, engineering, or a related field with in the last 5 years. Visa sponsorship is not available for this position
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Carbon Capture System Design, Operation, and Test The ideal candidate should have all or several of the following academic and personal qualifications: A PhD in chemical engineering, process engineering
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the Metabolomics Core Technology Platform (MCTP). We seek an enthusiastic scientist who will operate, develop, and continuously advance spatial metabolomics services, facilitating cutting-edge research across
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prototype (MIDAS) that integrates AI-based modules with optimisation engines to support low-carbon, cost-optimal datacentre microgrid design. To manage prototyping of the software platform - overseeing build