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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 26 days ago
rates and corrosion mechanisms using spectroscopic and microscopic methods # Conducting literature review, writing scientific publications, and presenting research results # Mentoring student courses Your
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specific requirements: a) Experience in the application of data analysis and machine learning methods to scientific data (e.g. multivariate analysis, chemometrics, neural networks, classification
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A
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some other way. The position also requires: good knowledge of physics, numerical methods, statistics and/or machine learning, good programming skills, for example in Python, Julia, C++ or equivalent, good
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novel turbulence closures that explicitly account for the mutual interactions between turbulence and sediment dynamics. Using a combination of analytical techniques, asymptotic methods, and numerical
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on such jets — although their detailed properties remain unexplored. In this project, we will develop new computational methods to compute and characterize these novel wave solutions, with particular emphasis
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methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use these enriched datasets to assess the future insurability of
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research institutes from 7 European countries (Belgium, Denmark, Italy, Germany, Slovenia, United Kingdom, Spain) and in the United States of America, including secondments to numerous industrial companies
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microstructure. An integrated numerical-experimental approach is generally adopted for this goal. A state-of-the-art computing infrastructure is in place for the numerical work in this project. PhD projects
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? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use