428 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at CNRS in France
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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producing PU dispersions from polyols synthesised from recycled waste cooking oils and optimising the formulations for applications such as varnishes and paints for the construction industry. - Development
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instrumentation. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5214-JEAGAY-092/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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the absorption of other MGEs, thereby restricting gene flow due to altered capsule production. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5100-OLAREN-007/Default.aspx Requirements Research
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al. 2019] and point-force Lagrangian models, with advanced post-processings [Vegad2024]. This work will be carried out with the YALES2 high-performance platform. Where to apply Website https
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the Universities of Salzburg and Maastricht. One position includes an additional computational component, and the other a focus on transcranial brain stimulation. Where to apply Website https
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techniques available at the IRCELYON and IFPEN laboratories. - Catalyst synthesis - Characterization of surface structure and reactivity, acid-base properties - Catalytic tests on model reactions - Kinetic
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the distribution and degree of mantle serpentinization, as well as its structural controls in the North Pyrenean zone. Numerical modeling of mantle-derived H₂ production within the North Pyrenean orogenic prism will
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of both the filament and the substrate, pressure, gas phase precursor composition) with the film chemical structure and the resulting optical properties will be carried out. The DC candidate will be trained
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, L. Estel, Analysis of thermal runaway events in French chemical industry, Journal of Loss Prevention in the Process Industries, 62 (2019) 103938. https://doi.org/10.1016/j.jlp.2019.103938 2. Y. Wang