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this PEPR, to which this PhD is attached, aims to monitor and study French forest productivity and biodiversity, in particular to simulate their future trajectories. The PhD candidate will benefit from strong
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, its winds have never been systematically measured. Yet atmospheric circulation drives nearly every climatic and geological process on the planet—from dust storms and aeolian erosion to the transport
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from fossil fuels. However, many industrial and transportation applications still rely on combustion due to their high energy density and thermal process requirements. Electrofuels (e-fuels), produced
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simulations, optimisation, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https
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integrative structural biology studies: (https://www.i2bc.paris-saclay.fr/facilities/ ). In particular, the doctoral student will have access to cryoEM instruments (Glacios at the I2BC and Titan Krios
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involved in various growth processes throughout the plant life cycle. Main objectives will be the prediction of GA-binding residues, their validation using molecular analysis, and the screening for novel GA
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(e.g. Python, MATLAB or equivalents); Interest in applied thermodynamics, numerical simulation and sustainable energy systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7274-SILLAS
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-low levels of power consumption at temperatures as low as 4 K. The design of these circuits is complicated due to the lack of standard design kits for their simulation at these temperatures. Alternative
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of territories, etc.). Modelling Urban Territorial Transformations of the Baltic Region: A Spatio-Temporal Computational Approach. (What is an Integrating Mathematics, Remote Sensing, and Geo-AI Simulation?) In
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of these materials and structures. This approach enhances both predictive simulation and inverse design strategies, optimizing the composition and arrangement of materials in the 3D design space. Within