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international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities for students, professors and staff. It offers a high-quality living
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monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance
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of thermal energy storage systems, enabling the modeling and analysis of heat transfer, fluid flow, and thermodynamic behavior within the storage system to optimize design and performance. Demonstrated
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on the following topics (but not limited to): Artificial Intelligence for Cybersecurity. Quantum Cryptography. Quantum Blockchain. Key duties: The Postdoctoral researcher will be expected to: Publish in high impact
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CBS - Postdoctoral Position: Artificial Intelligence Applied to Metabolomics for Health Applications
classification, patient stratification, and personalized therapeutic strategies. The successful candidate will contribute to high-impact research projects focusing on metabolic diseases, cancer, neurodegenerative
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Positions: two postdoc positions in the development of electrodes materials for ultrahigh performance of metal-ion batteries via advanced multi-scale computational modeling About UM6P: Located
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candidate will work on innovative solutions that integrate advanced technologies, urban data, and sustainable approaches to enhance the performance of waste management systems. Key Responsibilities
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of opportunities, for students, professors, and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places
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of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and