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fields – supporting the rapid growth and evolution of computer science and computational areas of allied fields such as mathematics, as reflected notably in the rise of artificial intelligence; computing
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the data science and artificial intelligence content of the curriculum, from data management and reproducibility to applied machine learning Supervise data-driven modelling projects and the digital component
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, data science and machine learning Design and deliver the artificial intelligence teaching track, from data management and reproducibility to applied machine learning for chemistry, materials and process
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related to the project’s objectives. • Process and analyze the collected data by implementing machine learning algorithms and artificial intelligence. • Develop a web-based geospatial interface
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fields – supporting the rapid growth and evolution of computer science and computational areas of allied fields such as mathematics, as reflected notably in the rise of artificial intelligence; computing
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fields – supporting the rapid growth and evolution of computer science and computational areas of allied fields such as mathematics, as reflected notably in the rise of artificial intelligence; computing
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mathematics, as reflected notably in the rise of artificial intelligence; computing in other disciplines – facilitating research and teaching collaborations in computing, across a broad range of fields; social
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computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. The ideal candidate should have a strong background in artificial intelligence and
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CCSE - Associate Professor in Computer Science - Integrated Preparatory Cycle & Engineering Programs
structures, programming in Python, numerical methods, and the digital foundations of data analysis and artificial intelligence, through lectures, tutorials and computer-based sessions Annual teaching service
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. The ideal candidate should have a strong background in artificial intelligence and machine learning, with demonstrated experience in developing and training neural networks for predictive modeling. Position