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communication and computation co-design enables scalable interaction among networked AIs, paving the way toward embodied intelligence in large-scale physical systems. Your competencies Prospective applicants
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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is primarily met by quantum sensors that must be operated at cryogenic temperatures, which greatly increases the complexity and cost of making such measurements. Therefore, research on alternative
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academic and industrial partners in microelectronics, photonics, and quantum technologies. Strong support for professional development through the Lecturer Training Programme and mentoring. An open and
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, particularly with diagnostic development. Familiarity with fusion devices (tokamaks/stellarators). Knowledge of signal processing techniques for high-bandwidth data. Experience with computational modeling (e.g
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to operate in harsh environments, for space applications. This project leverages state-of-the-art neuromorphic sensing and brain-inspired computing to enable a new generation of intelligent vision systems