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Field
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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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understand why species and populations differ in their vulnerability, so that research can inform conservation, management, and policy. However, we still cannot reliably predict how climate change will affect
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
and modeling of RESOLUTE data (https://re-solute.eu/ ) together with metabolic, structural, genetic and clinical datasets to generate new insights into transporter biology: how cells regulate access
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analysis, while other competence areas include e.g. causal inference, latent variable modelling and prediction models. The section aims to maintain a strong position in these areas but also wants to expand
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are English and German. The hired person will work on the project Predicting Arctic Tundra ecosystems development (ARTECO), which is funded by the Austrian Science Fund (FWF). This is and a cooperation project
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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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models for the fire resistance of LSF walls, including the development of machine learning models, experimental testing, and numerical simulations, within the project “FireLSF – Development of Predictive
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convection, extra-tropical cyclones, and ensemble prediction including algorithmic parameter estimation. The group’s main modelling tool in research and teaching is OpenIFS of ECMWF. Research within
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-based multispectral, hyperspectral, and RGB imagery. These models will integrate crop growth models, agronomic data, and genomic information to predict key wheat traits under varying climate conditions
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to the completion of a beef life cycle assessment for the City Food Policy Project and improving animal growth and performance predictions for grazing livestock by mechanistic nutrition models. Interested