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Details Title Pre-Doctoral Fellowship (Prof Kreindler) School Faculty of Arts and Sciences Department/Area Position Description Professor Gabriel Kreindler is seeking a predoctoral fellow. The
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. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop machine learning surrogates of wind energy systems. As newer
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the development of new algorithms for processing, analysis and inversion of active and passive seismic data and the application of these algorithms to field data. Student type Future Students Faculties and centres
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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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through development of data and information science, advancing innovative computing paradigms and developing new contextual learning algorithms and methodologies that can transform society. SDSC will serve
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pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of
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embedded within the department Law & Markets, home of a vibrant and diverse academic community. The overarching mission of the department Law & Markets is to develop and deliver cutting-edge, high-quality
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(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of
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(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of