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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use the ISBA land surface model developped at CNRM to study the
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simulation environment. The chosen code will be then adapted and tuned for the purpose of estimating radiological impact assessments of accidental releases from LFR-SMRs. A large set of simulations for short
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation techniques for agricultural and environmental
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Job Purpose You will contribute to a project on landslide and debris flow modelling and simulation, working with Professor Jin Sun and relevant research collaborators in a wide range of disciplines
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simulations (integrated modelling) can be used to better understand the dependencies obtained in scaling laws and better constrain them beyond the existing experimental space. This is the goal of the present
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forms suitable for system-level reasoning, and ensuring consistency between detailed simulations, experimental data, and higher-level system models. The researcher is expected to contribute
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to conceptual hydrological models and assesses how improved natural flow simulations can support environmental flow regime (EFR) planning. The work will be carried out in collaboration with an experienced and
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robust inference even when data are scarce or uncertain. The project will also explore surrogate modeling approaches for the rapid approximation of solutions to complex differential problems. These models
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practical part, related to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements