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leveraging computational modeling, artificial intelligence, and machine learning to accelerate the design and optimization of novel materials for next-generation energy storage technologies. The ideal
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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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. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited
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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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aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs Summary: UM6P invites applications for post-doc, 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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challenges in terms of research and education, covering all aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security
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), Benguerir, Morocco, is seeking a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate
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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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learning, operating systems and security. Jobs Summary: UM6P invites applications for post-doc, in all areas of Computer Systems. A successful post-doc candidate will work with a professor of the College