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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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Rigorous, organised and methodical Management and leadership skills Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7107-ANIFOR-019/Default.aspx Work Location(s) Number of offers
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der Waals heterostructures using wet or dry methods onto target substrates such as SiO₂/Si, ferroelectric materials or microelectronic chips, • the characterisation of materials after transfer, • micro
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finite-difference resolvent solver incorporating stabilising filters as well as a domain-decomposition strategy suitable for complex geometries, - Use efficient time-integration methods to compute
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on a resolvent formulation of the Boundary Element Method. He/she will apply this tool to perform the shape optimisation of a landing gear. He/she will then carry out the experimental validation
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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
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in the Khaybar oasis during the Islamic period. The researcher will be hosted within the UMR 7298 team in Aix-en-Provence. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7298-DIAALB
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preparation platform, SSMIM - Resources provided (equipment, IT, etc.): Computer workstation, binocular magnifying glass, analytical equipment (IRMS mass spectrometer) Where to apply Website https
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” team. Website: https://cermav.cnrs.fr/en/equipe/physico-chemistry-and-self-assembly-of… Team Leader: R. Borsali The successful candidate will be responsible for synthesizing glycopolymers based
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, scheduling, etc.). The contract may be renewed, up to a maximum total duration of 28 months. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5138-NEDKAC-007/Candidater.aspx Requirements