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technical subjects such as programming, data science, machine learning, and algorithmic fairness is highly desirable. Candidates must have teaching experience in a degree-granting program, including lecture
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, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and modeling. Familiarity with rheological characterization techniques, such as rheometry or viscometry
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using biologically relevant materials such as peptides, peptoids, chitosan or lignan Staff Scientists will work with a diverse team of leading experts at U of T, including: Prof. Helen Tran, Prof. Dwight
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team of leading experts at U of T, including: Prof. Helen Tran, Prof. Dwight Seferos, and Acceleration Consortium Staff Scientists. We are hiring both Staff Scientists and Staff Research Scientists
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experts at U of T, including: Prof. Helen Tran, Prof. Dwight Seferos, and Acceleration Consortium Staff Scientists. The Staff Scientists involved in the AC are highly skilled and experienced researchers who
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edge AI for localized knowledge preservation; AI governance and data sovereignty in digital heritage institutions and collections; study and design of recommendation systems and ranking algorithms used
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), debuggers, code verifiers and unit test frameworks and gain experience in graphical user interface design and algorithm development. Posting end date: July 11, 2025 Number of positions (est): One (1) position
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, strings, pointer-based data structures and searching and sorting algorithms. The laboratories reinforce the lecture topics and develops essential programming skills. Estimated course enrolment: ~150
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), students will explore the implications of choices in architecture across the range from mainframes and personal computing to mobile devices and sensors, understand the nature of different network and service
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contact Prof. Markus Bussmann at chair@mie.utoronto.ca . All application materials, including recent reference letters, must be received by June 12, 2025. All qualified candidates are encouraged to apply