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earned a PhD degree in Chemical Engineering or a related field by the time of appointment, must hold a baccalaureate degree in Chemical Engineering or an equivalent discipline, and must demonstrate a
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at http://uoft.me/how-to-apply . Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. If you
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have earned a PhD degree in Chemical Engineering or a related field by the time of appointment, must hold a baccalaureate degree in Chemical Engineering or an equivalent discipline, and must demonstrate
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date of July 1, 2026. Candidates must have a PhD degree in Chemical Engineering or a related field, must hold a baccalaureate degree in Chemical Engineering or an equivalent discipline, and must have a
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an anticipated start date of July 1, 2026. Candidates must have earned a PhD degree in Chemical Engineering or a related field by the time of appointment, must hold a baccalaureate degree in Chemical Engineering
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an anticipated start date of July 1, 2026. Candidates must have earned a PhD degree in Chemical Engineering or a related field by the time of appointment, must hold a baccalaureate degree in Chemical Engineering
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
must have earned a PhD in a relevant field (such as a PhD in Accounting) by the time of appointment, or shortly thereafter. Alternatively, applicants must have earned a graduate degree in a relevant
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faculty position in the area of Artificial Intelligence in Psychological Science. The appointment will be at the rank of Assistant Professor with an anticipated start date of July 1, 2026. This search
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of the world’s most vibrant and diverse cities. The Donnelly Centre is an interdisciplinary research institute that fosters integration of biology, computer science, engineering, and medicine (https
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rapid and significant shifts in power consumption, next-generation high-performance computing (HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs