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experimental approaches, with theoretical activities focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics
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focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics. Theoretical spectroscopy By combining quantum mechanical
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order to better understand, explain and advance society and environment we live in. Your role The PhD student will develop and apply computational multiscale models to investigate brain energy metabolism
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evaluate earlier developed friction models and extend them to account for effects such as slip direction and temperature dependence. Implement the developed models in commercial forming simulation software
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improve the parameterization of rheology integrated into current large-scale sea ice models, particularly those used for real-time forecasting and/or in the context of coupled climate simulations
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of the world’s first open-access simulation platform for large-scale THz networks. Available PhD Position The position will include 18-month industrial secondments in the UK (Ranplan Wireless): UPI
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Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting
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applications. Your main tasks: Develop and integrate degradation models for multiscale and multiphysics simulations of solid oxide cells Validate models using experimental data (e.g. IV curves, EIS measurements
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project based on a living model. Consequently, working hours will be adapted to the biological requirements and developmental stages of the model organism. The scientific environment at the Institute
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degradation models for multiscale and multiphysics simulations of solid oxide cells Validate models using experimental data (e.g. IV curves, EIS measurements) Apply ML methods in combination with CFD