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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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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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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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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
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simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements Research FieldEconomicsEducation LevelPhD or equivalent Skills/Qualifications 1
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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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Optimization and Sustainability Cluster roadmap, focusing on: Process modeling, simulation, and optimization for chemical, energy, and environmental systems using Aspen Plus, Aspen HYSYS, and other advanced
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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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systems modeling, simulation, and analytics; OR Master’s degree in computational biology, systems biology, bioinformatics, biological engineering, biophysics, or related field plus four (4) years of post
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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