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Field
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for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research
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excited about building and deploying systems. Work with the PI in mentoring PhD and Master students. Be self-motivated and driven, creative, team-oriented, and able to work efficiently in a
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, computer science, artificial intelligence, or a related quantitative field Experience with mathematical/statistical modeling and/or machine learning/Al methods Strong interest in infectious disease epidemiology
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25FA0694 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience This position requires a PhD in civil engineering, mechanical engineering, or related engineering fields
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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The team you will be working with: Maxime Cordy Mike Papadakis Your profile A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines. Documented research expertise in
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering
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Field: Mining Engineering, Industrial Engineering, Operations Research, Artificial Intelligence Duration: 12 months, renewable once Location: UM6P, Benguerir Campus Preferred Start Date: As soon as
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may be taken into consideration. A suitable candidate will have a PhD in computer science, statistics, sociology, economics, political science or a corresponding subject of relevance to computational
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Computer Science, Artificial Intelligence, Cybersecurity, or related fields Expertise in AI and ML applications for cybersecurity and threat analysis Knowledge of supply chain security challenges and