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ecological benefits of large wood. Ecological Indicators 155, 111045. https://doi.org/10.1016/j.ecolind.2023.111045 Scolari, Fadul, Schwindt 2025. Hydro-morphodynamic numerical modeling indicates risk zones
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significantly slows down the development of new desirable nanostructures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA
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with attractive conditions A broad range of further education and professional development programmes (for example language courses) An occupational health management model with numerous attractive
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solving. Diverse research areas: Work on numerical models, analyzing large data sets, statistical methods and more in a unique scientific environment. Who Should Apply? Emphasizing the physical system
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available on site for the development of suitable radiotracers. One focus of the work is on the use and evaluation of large tomographic data sets to derive parameter data for reactive transport modeling
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phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
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and the effects of disordered correlated microstructures on diffusion; iii) development of energy-based models and numerical simulations of hyperuniform assemblies; iv) development and application
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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mineral and metal-bearing raw materials more efficiently and to recycle them in an environmentally friendly way. The Department of Modelling and Evaluation is looking for a PhD Student (f/m/d) to work in
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Modelling and analysis of the outcomes and proposing new experiments for exploiting the results Follow-up on promising results with experiments at large-scale facilities Report results in peer-reviewed