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of this project is to enhance the efficiency, sustainability, and environmental compatibility of CO2 reduction to methanol through the development of advanced catalytic materials chosen among intermetallic
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of results Knowledge : Drosophila biology and maintenance, longevity experiments, survival data analysis Where to apply Website https://rubis.univ-spn.fr/offres/voir/215 Requirements Specific Requirements
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. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method combining machine learning and biophysical modelling to model embryo
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due to their high persistence. Understanding the temporal evolution of PFAS concentrations and characteristics in ambient air is therefore essential to support the development of appropriate regulatory
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
-physical couplings generally necessitate extensive computational time, the development of machine learning-based surrogate models will be pursued. The subsequent task involves formulating a machine learning
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development workshops on students' ability to identify and question the determinants of their food choices; Examine the impact of emotional regulation and stress on the integration of health and environmental
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equations, while the phase-field variable itself can also follow an hyperbolic evolution law that captures inertia or rate-dependent effects in the damage process. Explicit schemes are attractive for dynamic
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when aquatic environment was not completely oxygenated. The candidate will focus on the physiological and biochemical characterization of this intermediate state of evolution of photosynthesis where a
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Digital Twin projects, including supervising a production hall, controlling an energy management system of a building or a plant and monitoring geological evolutions. These partners also have extensive