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maintenance and asset management strategies. The project aims to develop a comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
system Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10252 Requirements Skills/Qualifications Engineering and/or Master 2 degree in Computer science / Applied mathematics with
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researcher and as a person. The Department of Engineering Sciences and Mathematics carries out research in areas such as wood, composites, metals, mechanics, and energy. Our engineering programs include
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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position We invite applications for a PhD Candidate
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available in the further tabs (e.g. “Application requirements”). Programme Description International students holding a Master’s degree in (molecular) biology, (bio-)chemistry, physics, mathematics
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for someone who combines scientific curiosity with hands-on measurement skills: Master’s degree in chemistry, physics or environmental sciences, or related field Strong motivation for an interdisciplinary
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, including high-throughput bioreactor cultivations, multi-meta-omics (metagenomics and metaproteomics), and mathematical modelling. You will work in a highly interdisciplinary environment at the interface
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. • Master's degree with excellent grades in computer science, mathematics, physics, engineering, medical informatics, biomedical engineering, or a related field • Very strong undergraduate and graduate record
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approaches, including high-throughput bioreactor cultivations, multi-meta-omics (metagenomics and metaproteomics), and mathematical modelling. You will work in a highly interdisciplinary environment at