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of rotation and stable stratification. To understand the origins of these energy transfers, we will perform direct numerical simulations using the global spectral method with extremely high precision to capture
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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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models or forecasting and econometric analysis Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
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related field. Interest in energy markets, digital technologies, policy analysis, or regulatory frameworks. Strong quantitative and qualitative analytical skills. Proficiency in statistical software such as
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-signalling/ ), led by Prof. Alexander Skupin, which focuses on multiscale analysis of brain disorders with a focus on Parkinson's and Alzheimer's disease, and epilepsy by combining experimental and
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automated verification and debugging techniques for numerical programs. These programs are widely used in safety-critical systems, data analysis, weather forecasting, physics, engineering and more, but
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Description The design, numerical simulation and shape optimization if large scale aerospace structures are challenging tasks as these structures are composed of hundreds of stiffeners. Constructing precise and
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topics Crystallization of polymers Analysis of the structure of semi-crystalline polymers Mechanical and thermal properties The work involves lab experiments, data acquisition, validating findings
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The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research institutes in Berlin
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using and further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use the MMI apparatus, gaining knowledge