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into solid phases of marine snow. You will test the performance of your model by simulating experimental and field data in collaboration with the PHOSFLUX PhD student. Your qualities We are looking for 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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problems in bioinformatics. This project is part of the Faculty of Science's new Quantum Simulation for Molecular and Material Design (Q-MMD) programme. You will join a growing interdisciplinary team at
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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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… Requirements Specific Requirements A PhD in Mechanical Engineering, Chemical Engineering, Applied Physics, Computational Science, or a related field. Strong background in numerical modeling and/or computational
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attended and grades obtained, and the names and contact information of at least two references (including your PhD supervisor) A copy of your MSc and PhD diplomas and transcripts. If you are in the final
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific