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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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of molecular data Experience with high performance computing Aptitude for team work, problem solving and collaborative relationships Excellent verbal and written skills in English Organizational dexterity and
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high-performance computing (HPC) and cloud-based simulation platforms. Strong publication record in computational materials science and electrochemical energy storage. Ability to secure research funding
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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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innovations in the industry. Promote research and development findings through publications in high-impact Q1 scientific journals and indexed conferences. Digitalization and Integration of Optimization Tools
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platform for experimentation and a pool 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
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geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and prepare reports, ensuring results are published in high- impact, peer-reviewed journals
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the development of high-performance materials for thermal energy storage, all-solid-state batteries, and green hydrogen and ammonia production. In addition to scientific advancements, LIMSET is committed
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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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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