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: Experience in developing smart city models focused on health and environmental infrastructures. • Advanced Data Analysis: Advanced skills in machine learning, deep learning, and advanced statistics
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. Modeling and simulation of catalytic and thermal reactors, integrating reaction kinetics, heat/mass transport, and multiphysics simulations for ammonia synthesis. Integration of AI and machine learning in
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, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Job Summary: UM6P invites applications for professor positions (at all ranks, i.e
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) combined with machine learning and chemometrics. Key Responsibilities: The Postdoctoral Researcher is primarily intended to support leaf spectroscopy research but will also be involved in other research
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for collecting and analyzing urban data (traffic, energy consumption, environment). • Strong skills in integrating IoT devices into complex digital systems. • Advanced expertise in machine learning and
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and regional scales. Proficiency in programming (e.g., Python, R) and experience with machine learning for geospatial data analysis. A strong track record of publishing research articles in high-impact