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systems and PtX technologies. Engage with the Scientific and Industrial Community: Actively participate in relevant academic and industrial networks. Attend events, workshops, and technical forums
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loads — EV fleets, residential batteries, smart heat pumps, and data-center clusters — across distribution and transmission networks is critical to unlocking deep decarbonization and maintaining grid
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research environment with close interaction between experimental and theoretical activities. You will join a thriving community of researchers and benefit from a strong network of international collaborators
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organizational skills. Good communication skills and willingness to work independently as well as to collaborate with your colleagues and peers. Commitment to complete the PhD coursework (30 ECTS points) and
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the Spiking Neural Network (SNN) itself. However, close collaboration with another PhD student working on the SNN hardware design is expected to ensure seamless signal interfacing and system integration. Key
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with strong interconnection between experimental and theoretical physics. We provide a large network of collaborators to develop ideas and new projects. Excellent experimental research infrastructure
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-motivation to learn. Be able to work well and communicate expert knowledge in an interdisciplinary team. Have the ability of working independently. Have a strong sense of responsibility. Research environment