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extensive experience in materials modeling and simulation within an international scientific environment. He or she will have access to the Normandie supercomputer (CRIANN). This team (4 faculty members
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of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
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/candidatOffres/show/id_offre/133611 Requirements Specific Requirements The applicant should have a strong interest in working in a multidisciplinary team. Ideally, she/he has an experience in mechatronics domain
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Requirement:: -Master in organic chemistry -Lab experience -Language: French and English Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UPR2301-LUCNEU-012/Default.aspx Work Location
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scientific computing tools (preferably MATLAB). - Experience with biomedical applications of signal processing is desirable. - Good computing skills. - Proficiency in word processing tools (Word, LaTeX
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
: rigorous, organized, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus
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and image processing. Prior experience with data fusion, machine learning, or super-resolution methods will be considered an asset. Candidates should be motivated to conduct independent scientific
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combining physical chemistry and process engineering. The experimental and theoretical work carried out within this research area has led to an original approach that enables the understanding and modelling
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reference in the world of research and development, as well as for the general public. The candidate will carry out a research activity, essentially experimental, with the aim to obtain a PhD degree of the
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choices when the environment changes. To achieve this, the project will implement cutting-edge techniques in experimental neuroscience. The core activity will involve daily behavioral training of mice