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to history.cupe3@utoronto.ca , addressed to the Associate Undergraduate Chair, Prof. Heidi Bohaker and must include: • application form available at https://uoft.me/CUPE-3902-Unit-3-Application-Form • Updated
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to history.cupe3@utoronto.ca , addressed to the Associate Undergraduate Chair, Prof. Heidi Bohaker and must include: • application form available at https://uoft.me/CUPE-3902-Unit-3-Application-Form • Updated
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Undergraduate Chair, Prof. Heidi Bohaker and must include: • application form available at https://uoft.me/CUPE-3902-Unit-3-Application-Form • Updated CV • teaching evaluations • two letters
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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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benefits of policy choices be measured and distributed across the population? And what ethical constraints are there on the pursuit of state aims? This course will explore these theoretical questions in
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budgets, environment and climate change, labour markets, labour force skills, industrial policies, income distribution, housing and the new challenges and opportunities in the economy. Specific examples