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of physics‑informed control of mobile manipulators, data collection from real and simulated machines, and model development and testing in simulated environments. The project offers close collaboration with
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well as LiDAR measurements, into ensemble agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation
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criteria - Emerging technologies modeling, - circuit simulation and design. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5270-SYLGON-070/Default.aspx Work Location(s) Number
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Establish and validate a regional coupled ocean modeling framework at very
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therefore need to be accounted for [2]. These fields are typically simulated with Magnetohydrodynamic Modelling (MHD); however, these simulations require significant computation time (e.g. supercomputers) and
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and simulation modeling. A quantitative understanding of ecosystem dynamics provides the foundation for the development of robust management concepts for the sustainable provisioning of diverse
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studies of physics‑informed control of mobile manipulators, data collection from real and simulated machines, and model development and testing in simulated environments. The project offers close
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of wood formation (CEMACam project). - main mission: The candidate will be tasked with continuing the development of a wood formation simulation model initiated during the project. This 'vertex' model
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, security) into climate modelling, and assessing the impact of such SAI scenarios on the climate system. These scenarios will be implemented in the simulations via the controller mentioned above. The thesis
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the implications for forest ecosystem service supply. The main methodological approach applied will be forest landscape simulation modelling using the model iLand. The work is embedded in the BETA-FOR project (https