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for geometric PDEs, in particular for fluid problems posed on surfaces. Both theoretical analysis of numerical methods and code development. Job requirements: PhD in mathematics or applied mathematics, experience
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Assisting with research on the evaluation of low-carbon technologies conducted by the research team, including numerical calculations and analysis, etc., using Excel. [Work content and job description
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of the position. The successful candidate will have a solid theoretical foundation in one or more of the topics: Computational Mechanics, Finite Element Analysis (FEA), Numerical Optimization
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, the student will have the opportunity to: investigate the key scientific and engineering challenges involved in designing sorbents for electrochemical CO2 separation, including the analysis of existing
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and with the 2AT team at Institut Pprime to develop an innovative jet-noise prediction tool. The researcher will develop a novel jet-noise prediction tool based on a resolvent analysis of the Navier
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 25 days ago
algorithms, and to publish these results in research papers. bibliographic work algorithm design and their theoretical analysis numerical simulations writing scientific papers Where to apply Website https
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the analysis and validation of results within the scientific project. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staf… Requirements Research FieldPhysics
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molecule crystals using either electron or X-ray diffraction techniques. While candidates with experience in structure analysis based on powder diffraction, neutron diffraction, or scattering data will also
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, particularly in techniques such as Schlenk line, glove box, powder X-ray diffraction, electron diffraction, electron microscopy, and porosity analysis. The candidate is expected to have a thorough understanding
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numerical approach The PhD is part of a Franco-German co-funded project between IFP Energies Nouvelles (IFPEN) at Lyon and the Hamburg University of Technology (TUHH), focusing on the modelling of gas/liquid