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Results: Ability to assess the influence of the engine plume on the release of emissions into different atmospheric layers. Numerical model to describe the temporal and spatial dispersion behaviour
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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citizens in their choices, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute
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to understand the conditions leading to air and surface discharges under low-pressure conditions typical aircraft systems. The main objective is to develop simplified, operational insulation models and discharge
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? No Offer Description Context Smart monitoring of mechanical systems (e.g., engineering structures, industrial processes) requires accurate numerical models that can be exploited in real time [1
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biogeochemistry is also essential. The successful candidate will demonstrate proficiency in numerical modeling and statistical methodologies for interpreting in-situ and satellite observations. Additionally
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data necessary for: Understanding caisson performance in diverse soil conditions, including layered, heterogeneous soils, and sloping seabeds. Numerical model validation and design optimisation by
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of numerical modelling and the validation of numerical results by an experimental study on material level. Firstly, the development of hydration processes including the carbonated matrix in three-dimensional
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Method (DG) for higher-order temporal discretisation. It is necessary to implement models of various Wells and impulse turbines. The project tasks are: Development of a simulation code in Julia
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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