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analytics and implementation of algorithms in care settings along with clinical, business and ethical challenges will be explored. In addition, an overview of the issues within the health industry
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candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include
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candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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in their cover letter. Tier 2 Chairs are intended for exceptional emerging scholars. Nominees should be within ten years of receiving their PhD or terminal degree in their field. Applicants who
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to balance time and resources between teaching, research, and administration. Estimated Enrolment: 40 PhD candidates and postdoctoral fellows Number of Positions: 1 Posting end date: November 10, 2025 Dates
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this posting, the rates stated in the collective agreement shall prevail. Qualifications: Preferably candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 15 days ago
and final exams. Attend each class meeting to provide feedback and assist the Professor in organizing the class Consult with students by email Preferably a PhD student or a suitable qualified graduate
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stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Minimum Qualifications: PhD in physiology or related discipline and