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with some of the strategies national governments can use to bring down greenhouse gas emissions as well as to adapt to climate change including the process for developing and updating Nationally
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future climate change projections. Candidates must have earned a PhD degree in Environmental Engineering or a related area, and a clearly demonstrated record of excellence in research and teaching
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have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply. Applicants must have earned a PhD degree in
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, financial services, public safety, and higher education. Predictions from machine learning systems are incorporated within organizational processes to support evidence-based decision-making. This course
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with our interdisciplinary team of scientists and engineers. Responsibilities include but are not limited to Experimental Design and Execution, Computational Modeling, Prototype Development, Data
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the knowledge and tools required to balance time and resources between teaching, research, and administration. Estimated Enrolment: 40 PhD candidates and postdoctoral fellows Number of Positions: 1 Posting end
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capacity. The Finance Department ensures compliance, provides strategic advice, enhances support for the decision-making process, manages risks, optimizes financial processes, adopts new technologies
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this posting, the rates stated in the collective agreement shall prevail. Qualifications: Preferably candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 17 days ago
Lecturer III in accordance with 14:12. Application Process Applications must be submitted electronically, with a cover letter outlining your qualifications and a current curriculum vitae to Professor ME Luka
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
investigate fundamental techniques and digital concepts common to digital art practices. This course is an introduction to general image processing, compositing, seamless collage, composition, text design, and