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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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applicant's accessibility needs. If you require accommodation during the interview process, please contact Prof. Nahee Park at nahee.park@queensu.ca. Application Materials Required: Further Info: https
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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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candidate will support experimental research focused on the synthesis and characterization of photo-activated semiconductor materials. Responsibilities include developing and testing UV-activated gas sensor
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characterization of photo-activated semiconductor materials. Responsibilities include developing and testing UV-activated gas sensor prototypes, conducting laboratory and field evaluations, and analyzing
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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
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and test field protocols for carbon removal tracking and certification Conduct life cycle assessments (LCA) using real-world deployment and sensor data Engage with community partners, carbon credit