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network of IoT weather sensors. Assemble, configure, and deploy custom IoT devices in field conditions, including satellite communication modules for remote data transmission. Optimize algorithms for edge
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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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course. Positions: PHIL 200 Into to Philosophy 1 – Professor Gold – 1 positions of 180 hours PHIL 202 The Good Life – Prof Fraenkel – 3 positions of 180 hours PHIL 210 Introduction to Deductive Logic 1
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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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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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reports to the Principal Investigator (Dr. John-Jose Nunez) and will also receive direction and some supervision from the Co-Principal Investigator Prof. Raymond Ng. They will also interact with and receive
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Science Specialist will: 1) review empirical data and algorithms applied to the price, end-use, fishing effort and layer 3 databases and develop code that imputes missing data to complete gaps in
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developing machine learning algorithms specifically designed for medical imaging applications. In addition, performs analysis of tissue images of cancer using machine learning methods that have been prototyped
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to: Prof. Shan Wang Search Committee Chair and Head, Department of Finance and Management Science Edwards School of Business, University of Saskatchewan Saskatoon, SK, S7N 5A7 E-mail: mis.search