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against state-of-the-art numerical methods. Regular cross-project exchange will let you learn from different application domains while contributing bioinformatics challenges, benchmarks and software to a
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challenging, especially in dunes with complex topography. Your job In this 2-year postdoc position, you will use numerical modelling and machine learning techniques to increase the accuracy of coastal dune
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fluxes and acidification in global marine P cycling through a combination of field work in the North Atlantic Ocean, laboratory experiments and numerical modelling. A scientific cruise with our research
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themselves. In this project, you will investigate whether and how large offshore wind farms influence precipitation. Using high-resolution numerical modeling, you will examine the physical mechanisms through
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Python. Close scientific collaboration with researchers in fluid mechanics, theory, and numerical simulation at ARCNL, TU/e, and UvA. Possibility to enhance your experimental research work with advanced
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. Depending on the candidate's background and interests, the project may also involve acoustic hardware, numerical simulations, phantom development, and translation of the resulting methods toward biomedical
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which factors determine feasibility and performance. What will you do? Improve, document and apply a regional groundwater model for variable-density flow groundwaterflow and coupled salinity simulations
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to generate waves with representative tsunami wavelengths. The experiments involved the simulation of tsunami of different form and wavelengths propagating along the flume, running up a beach and interacting