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, HVDC systems and inverter-based resources. Experience with PSCAD, EMTP, RTDS, OPAL-RT, PowerFactory or MATLAB/Simulink. Programming experience in Python, Julia, MATLAB, C/C++ or related languages
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their physical efficiency through training, this project aims to develop software methods that allow deployed neural networks to progressively reduce their resource footprint while maintaining application
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without building strong evidence that the new method is safe and effective. Wind tunnel experiments of new concepts may be considered, but because of scaling, the involved physical time scales typically
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, and evaluation Experience with embedded hardware, such as AI accelerators (e.g., NVIDIA Jetson, Axelera, Qualcomm, Rockchip) or ARM-based platforms Solid programming skills, particularly in Python and C