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for the green transition of the energy sector. Our research develops innovative digital tools and methods, combining cutting-edge AI, simulation, and optimization, to create smarter, more resilient, and
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
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. The broader goal is to support assistive devices through real-time analysis of brain activity and physical interaction signals using energy-efficient hardware. As a PhD candidate, your primary focus will be
Searches related to energy optimization
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