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experimentation. The PhD student will develop models and algorithms for the joint design of sensing, communication, inference, and action, and is expected to contribute to a real robotic platform integrating
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Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation, power conversion, energy and
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, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will develop advanced research competencies alongside
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engineering and sustainable energy systems and help develop future large-scale Power-to-X solutions. Your work tasks In this PhD fellowship at AAU Energy, you will work with dynamic modeling, simulation and
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getting these defenses to run on small, low-power embedded devices, so the lab develops lightweight AI and trustworthy embedded platforms that can detect and respond to threats on their own. The goal is