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must hold a PhD in an area related to energy,and have a clearly demonstrated record of excellence in research and teaching. The Chair will be solution-focused and responsible for innovating and driving
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(inclusive of PhD and/or post-graduate work) in accelerated research and development in the area of development and application of machine learning/deep learning methods for biological or chemical data
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Organizational Studies. The appointment will be at the rank of Associate Professor or Professor, with an anticipated start date of July 1, 2026. Applicants must have earned a PhD degree in a field such as
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and teach across our diverse professional (BI, MI, MMSt) and research (PhD) programs. Evidence of excellence in teaching will be provided through teaching accomplishments and innovative pedagogical
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, MMSt) and research (PhD) programs. Evidence of excellence in teaching will be provided through teaching accomplishments and innovative pedagogical approaches, the teaching dossier submitted as part of
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 20 hours ago
: September 3rd - December 31st, 2024 Salary: $17,267.74 (includes 4% vacation pay) Minimum Qualifications: Experience required in teaching accredited courses at a recognized university. A PhD in statistical
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Over 10 years of experience (inclusive of PhD and/or post-graduate work) in accelerated R&D in the area of cheminformatics and molecule design. Experience working closely with a Principal Investigator or
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, engineering, robotics, computer science, or related discipline Experience Five (5) to 10 years of experience (inclusive of PhD and/or post-graduate work) in accelerated R&D in the area of cheminformatics and
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, materials science, life sciences, physics, engineering, robotics, computer science, applied mathematics or related discipline Experience 1 to 5 years of experience (inclusive of PhD and/or post-graduate work
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Professor, with an anticipated start date of July 2026. Candidates must have earned a PhD degree in biomedical engineering or another relevant field by the time of appointment with a demonstrated record of