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materials based on π‑conjugated small molecules and their solids. The work focuses on establishing robust structure–property–performance relationships that guide molecular and materials design. The researcher
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are widely used in modern life due to their strength and durability, with applications ranging from construction to packaging. However, their long-lasting nature also poses environmental challenges, as they
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researchers from various laboratories: UMR IDEES Caen and Rouen, UMR PRODIG Paris, UMR EVS Lyon, UMR Pacte Grenoble, UMR EDYSAN Amiens, UR ERPI Nancy, and UMR GREYC Caen. Host structure The IDEES joint research
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6 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire plasma et conversion d'énergie Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1
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plus - Good writing skills and oral expression in english (at least B2) - Scientific rigor and curiosity Technical skills : - Required: PhD or engineering degree in deep learning - Required: good
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scenarios to structure the uncertainty space and guide the development of robust optimization strategies. This will involve identifying key uncertain variables (e.g., energy prices, technology availability
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on plausible solid-electrolyte interphase structures on the extreme surface. The applied computational methods will be periodic semi-empirical methods and density functional theory. The person recruited would
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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information is available on the project website (still under construction) and on the YouTube channel. Planning research project : MIXAP-EU began in October 2024. We have already established partnerships and
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor