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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD research will take place
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, there is a strong demand for the development of non-invasive methodologies, able to probe chemical gradients in the vicinity of individual nano objects in operando conditions. In this PhD thesis, we plan
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staff members (researchers, engineers, PhD students) and operates several major experimental facilities: LULI2000, Apollon, HERA, XCAN. The PhD student will join LULI's theory team (TIPS) and will work
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the scientific goals of the PhD. Interactions with the Berkeley team will be supported and facilitated by the IRL Centre Pierre Binétruy. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR9012
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genetically heterogeneous disorder in human. Gene expression programs are extensively controlled by circadian clocks, cell-autonomous molecular pacemakers with a 24h period (Koronowski and Sassone-Corsi, 2021
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Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD
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punctual mobilities within the partners of the project consortium. The PhD task will be dedicated to the 3D printing of nano-structured polymer materials by photo-Polymerization Induced Microphase Separation
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10252 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD thesis will take place in
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convection. Once the saturation point is reached, a boiling flow develops. Various flow regimes emerge depending on the control parameters. In Llo, the generated steam is used in a turbine to produce
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, physics of fluids, flow control... The main objective is to develop numerical tools to efficiently predict and to deeply understand flows in more and more physically and geometrically complex configurations