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micro-modellers in collecting primary and secondary data to connect their Agent-based model to the macro models. You will work here The research is embedded within the chair Urban Economics, which is led
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Innovation: Identify and implement improvements in LES sub-grid scale models or actuator disk/line representations to better capture turbine-atmosphere interactions. Scientific Impact: Lead the authoring
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Innovation: Identify and implement improvements in LES sub-grid scale models or actuator disk/line representations to better capture turbine-atmosphere interactions. Scientific Impact: Lead the authoring
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we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and
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for the integration of renewables and the electrification of energy consumption. Through digitalisation, power networks become Smart Grids that can monitor energy flows and adjust energy supply and demand accordingly
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such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting
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drives innovation for a climate-neutral society. You will investigate how learning communities can be interconnected across micro, meso, and macro levels to create a sustainable knowledge ecosystem
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. Where to apply Website https://www.academictransfer.com/en/jobs/358128/postdoc-vacancy-terahertz-micro… Requirements Additional Information Website for additional job details https
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the contract. A strong background in computational or numerical modelling, preferably with demonstrated experience in one or more of the following: micromagnetic modelling, inverse problems, or nano- to micro