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better predictions of fire extents and its impacts on vegetation at regional scales. This is a contribution to INFLAMES (https://inflames-project.github.io/ ), a national research project on fires, with
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functionalities that can further improve operational performance, such as the integration of predictive models, orbital dynamics knowledge, or drag-aware optimisation strategies to enhance manoeuvre timing and
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systems into vehicle platforms. The position includes the design and execution of simulator-based studies, development of predictive comfort models, and validation of thermal comfort solutions using diverse
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the research group can be found at: Electrochemical Engineering (tue.nl) Where to apply Website https://www.academictransfer.com/en/jobs/362816/postdoc-in-dynamic-modelling-of… Requirements Specific
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on developing multi-scale mechanical models to predict how printed inks behave under mechanical and environmental stress. Your role: Build multi-scale models and extend the Eindhoven Glass Polymer Model for latex
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. Currently, conservative assessments of seismicity (i.e., predicting higher seismicity than likely to occur) are one reason for projects not passing the exploration stage, and seismic activity related to gas
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multiple Jurassic cold snaps using stable carbon isotope fractionation measured in molecular fossils e.g. phytane. Integrated with Earth System models, this approach allows to quantify carbon–climate
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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urban models and computational fluid dynamics (CFD) simulations can improve the prediction of urban airflow and the effects of Urban Air Mobility (UAM) operations. Urban environments present complex
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impacts of our missions and respond to the major scientific challenges of our times as captured in the new ESA science strategy https://esamultimedia.esa.int/docs/EarthObservation