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and exploring technological advancements in the field. Background and Objectives As part of the project titled “Development of an Intelligent Geospatial Interface for Panel 8 of the Benguerir Phosphate
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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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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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assignment. The research programme is defined with that entity; no specific research theme is imposed by the present position, beyond its relevance to data science and artificial intelligence applied
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of affiliation is retained. TEACHING ACTIVITIES Deliver lectures, tutorials and computer-based sessions in computer science fundamentals for engineers, algorithms and programming, and numerical analysis Deliver
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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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for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Physics, Chemical Engineering, and Environmental Engineering focusing on different
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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