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devices into complex digital systems. Advanced expertise in machine learning and artificial intelligence for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial
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research, oncology microbiomes, or environmental resistome surveillance. Familiarity with spatial metagenomics, single-cell microbiome analysis, or multi-omics data integration. Knowledge of machine learning
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at conferences, and stakeholder engagement sessions. Required Qualifications: A Ph.D. in Climate Science, Hydrology, Environmental Science, or a related field. Experience in machine learning or AI applications in
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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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, 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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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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. 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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energy applications (domestic energy consumption, electric vehicles, smart buildings). • Proficiency in optimization techniques (mathematical algorithms, heuristics, or machine learning) applied
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machine learning, particularly deep learning and natural language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency in Python and relevant