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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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the epitaxy of structures by MOVPE. The LN2 laboratory will conduct design activities through simulations and manufacture test components. The electrical characterizations in continuous and pulsed modes will be
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that these different strategies, involving varying degrees of risk-taking, coexist to optimize resource exploitation while reducing the level of competition among conspecifics. Although the ability to imitate and even
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funded and carried out within the framework of the IMITATION project (TIRIS Scaling-up, ANR PIA4 France 2030). Additional information Desired profile: The candidate must hold an engineering degree and/or a
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). • Design the testbed architecture, including a 532 nm laser source and a Martian backscatter simulator. 2. Laboratory implementation • Assemble and align the full optical bench. • Develop or integrate a low
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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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the results of numerical simulations (ideliazed and in a cosmological context) with analytical models that they will develop, in order to understand the detailed physics of bar formation and evolution in
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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