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energy integration Energy storage systems and grid flexibility solutions Power flow control and intelligent grid management Hardware-in-the-loop (HIL) simulation of power systems Power grid modelling
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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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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accurate protocol records. Build and maintain billing grids and manage Office of Clinical Research workflows within the CTMS. Serve as a resource for study teams navigating the CTMS and assist with
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mathematical background in reinforcement learning and/or control (e.g., optimal control, decentralized control, and/or adaptive control) with a strong desire to make an impact on energy/power grids are preferred
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differential equation models of bacterial persistence. A particular challenge, both for simulation and for machine learning, lies in the high dimensionality of these equations, which causes grid-based numerical
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), with the ability to work across both legacy and modern codebases. Strong background in statistical analysis and model evaluation, including validation of gridded datasets. Experience in geostatistical
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ability to create responsive design (Flexbox, Grid). A demonstrated ability to work on a development team, contributing to and maintaining a shared codebase using GitHub is also required, along with
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initiatives in power electronics for medium-voltage grid-connected applications. These research efforts align closely with the university’s strategic goals toward building more sustainable societies. Key
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intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. We offer a multidisciplinary, international, and friendly atmosphere