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les conditions géométriques et mécaniques fondamentales qui la font naître. Pour y parvenir, le projet combine des simulations numériques et des investigations expérimentales afin d'établir un cadre
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Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will
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Method (DG) for higher-order temporal discretisation. It is necessary to implement models of various Wells and impulse turbines. The project tasks are: Development of a simulation code in Julia
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). The institute also maintains locations in Dedelow and Paulinenaue. The position will be based in the Research Platform “Data Analysis and Simulation „within the Working Group “Ecosystem Modelling“ under
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programming such as Python, R, MATLAB, or other similar programs and experience in using simulation/optimisation models and advanced data handling techniques e.g. machine-learning techniques, statistics
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about the ISSE Institute, please visit our website: https://www.isse.tu-clausthal.de Your responsibilities include: Research and development in the field of software engineering for dependable and safe
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simulations and thermal comfort analyses by developing fast parametric algorithms and data-driven surrogate modelling approaches capable of predicting dynamic outdoor thermal comfort with high accuracy
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study cycle or non-award courses of Higher Education Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink. • Knowledge of industrial-grade communication
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Geotechnical Engineering, or a related field with a focus on one or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical modeling and simulation
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that combine AI and traditional modeling and simulation (ModSim). You will work with cutting-edge exascale systems and novel AI hardware, collaborating closely with science application teams, academia, industry