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power of data science and algorithmic research with the fields of democratic theory, political science, and public policy. Ideally, the candidate has expertise and interest in innovative research using
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objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms, statistical
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. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms
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with a diverse team of leading experts at U of T, including Faculty Prof. Alan Aspuru-Guzik, Prof. Sophie Rousseaux, and Acceleration Consortium Staff Scientists Dr. Han Hao, Dr. Xiaoman Guo, Dr. Yang
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with a diverse team of leading experts at U of T, including Faculty Prof. Alan Aspuru-Guzik, Prof. Sophie Rousseaux, and Acceleration Consortium Staff Scientists Dr. Han Hao, Dr. Xiaoman Guo, Dr. Yang
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will work with a diverse team of leading experts at U of T, including Faculty Prof. Alan Aspuru-Guzik, Prof. Sophie Rousseaux, and Acceleration Consortium Staff Scientists Dr. Han Hao, Dr. Xiaoman Guo
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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