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model tests on granular flows.PhD position 2# is supported by an Advanced Grant of the European Research Council (ERC). The ideal candidate will focus on constitutive modelling and numerical simulations
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
thermo-hydraulic-(mechanical) models and perform system-level simulations to analyse heat and moisture transport within the of the SMTES system and assess its performance under different boundary
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operational challenges. You will model and conduct dynamic system simulations of full cooling systems (e.g. in Dymola) You will conduct experimental investigations focusing on the integration of active cooling
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they will investigate novel Cloud and Edge techniques that are built based on Java, Python and C++. The particular research topics of interest include• application development platforms• programming models
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engineering, data science, or related fields Strong programming skills (especially in Python), and experience with simulation, modelling, data analysis, machine learning, and hardware control Solid
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knowledge of digital methods, particularly in the areas of geometric modelling, architectural and structural simulation and materialisation at various scales Interest and proven skills in digital and manual
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institutions. PhD topic: Numerical simulation techniques for the analysis of arrays of RTD oscillators Further details on the doctoral programme and the individual PhD topics can be found here . The aim
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subject-specific dissertation Managing and updating software for simulations Assisting with the management of projects and administration at the institute Your Profile Interest and prior knowledge in