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within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
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colleagues and external partners (academic and industry) to exchange ideas, explore opportunities for collaboration, and establish partnerships that strengthen research outcomes. About You Qualifications: PhD
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, and the ability to read related scientific papers on cancer combination therapy. It would also require expertise in relevant AI methodology, such as deep learning architectures for property prediction
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independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field
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on Indigenous Knowledge Systems. https://abundant-intelligences.net/ . The Toronto pod is comprised of faculty from OCAD University and York University in close partnership with collaborating institutions
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laboratories and cutting-edge technology. Career development support and training opportunities will be available within the lab and through the Center for Advanced Research Training and Innovation https