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: Writing scientific articles and presenting results at conferences. Candidate profile PhD in Applied Mathematics, Fluid Mechanics, or a related field. Strong programming skills in C++. Experience with IGA
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aggregates in biological fluids. The project aims to develop and refine a cutting-edge single-molecule detection platform that leverages molecular amplification and nanoscale sensing to identify and
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the framework of the PEPR Sous-Sol project ORGMET conducted by a consortium of four French laboratories GET, INEEL/ESRF, LFCR and IPREM (https://www.soussol-bien-commun.fr/fr/appel-projets-2024/orgmet
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Skills/Qualifications Candidates must hold a PhD in robotics, mechatronics, mechanical engineering, or a related field, or an equivalent degree. The ideal candidate should demonstrate: - Strong expertise
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properties, • characterizing the fabricated LMB from an electrochemical perspective, • analyzing the electrochemical effects from a fluid mechanics point of view, • presenting the results at a national and/or
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single fluid vortex and a liquid/gas interface in various configurations through theoretical/numerical modelling and stability analyses. The following configurations will be analysed : - a horizontal fluid
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correlations. - Analyse experimental data mixing both quantum optics and solid-state physics phenomena - Supervise PhD students and interns - Ensure an efficient collaboration and information sharing with
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of the project MESSENGER: « Can rock-powered Microbial EcoSyStEms provide valuable iNsiGhts into early life and its emERgence? » funded by the PEPR ORIGINS (https://pepr-origins.fr/en/ ) and integration
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Requirements: PhD on Computational Fluid Mechanics / Applied Mathematics on Fluid Mechanics Large part of the applicant PhD project and/or postdoc should have been focused on Computational Fluid Mechanics and
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fellow will receive a net salary of around 2600 euros per month, including health and welfare insurance. The position is open to holders of a PhD in mathematics. The candidates are expec- ted to have a