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environments, taking into consideration new work arrangements (e.g., gig work and remote work) and technology (e.g., remote control, algorithmic management). The dominance of AT has contributed to an over
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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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through the Stanford Impact Labs Postdoctoral Fellowship Program (link is external) with Profs. Irene Lo, Itai Ashlagi, and the Stanford Impact Lab on Equitable Access to Education Postdoctoral Fellow
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under the supervision of Prof. Edward Marti including (but not limited to) the following activities: Build and optimize ultrasound rigs and imaging of neonatal and adult rodents (mice and rats). Develop
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this position will be to provide in vitro biochemical, biophysical and structural data from novel mutants of the EGFR kinase domain to drive and validate algorithmic development. Organisation The vacancy is
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administered by the College of Natural Science and the College of Engineering, is one of the newest units at MSU. Founded in 2015, CMSE recognizes computation as the “triple junction” of algorithm development
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robust brain-inspired, autonomous, and cognitive systems through cross-layer analysis and design methods, engaging hardware, software, and system level techniques synergistically. Prof. Shafique’s lab has
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Deadline: 31 October 2025 Details This project aims to develop new algorithms for reinforcement learning from human feedback, to effectively solve complex reinforcement learning tasks without a predefined