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to correlate polymerisation kinetics, macromolecular architecture, morphological evolution and drug encapsulation mechanisms. Beyond experimental work, the project will integrate machine learning approaches
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, machine learning, explainable artificial intelligence (XAI), digital twins, and integrated data-model approaches. • Study of the frugality of the developed approaches by reducing the requirements
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engineering Researcher Profile First Stage Researcher (R1) Application Deadline 19 Aug 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1
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high-technology group operating in the aerospace, space, and defence sectors. The company designs, manufactures, and supports cutting-edge systems and equipment for civil and military applications. As
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computational fluid dynamics. • Experience in modeling, uncertainty quantification, or statistical methods. • Experience in data science or machine learning is considered an asset. • Experience with high
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technologies. The institute places particular emphasis on micro- and nanotechnologies, including nanostructures and nanoelectronics, microelectronics, microwave engineering, and microsystems. PhLAM is a Joint
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, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
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of energy and power, are therefore ideally suited to meet these requirements. This technology offers undeniable advantages over Li-ion systems currently under development for such applications, particularly
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engineering Researcher Profile First Stage Researcher (R1) Application Deadline 6 Aug 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1
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18 Sep 2026 Job Information Organisation/Company CNRS Department Sciences et Ingénierie, Matériaux, Procédés Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher