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sensing principles and develop energy-efficient sensor architectures specifically designed for operation at cryogenic temperatures. Throughout your PhD, you will design, simulate, fabricate, and
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, with features such as the ability to generalize across multiple tasks (e.g., power flow calculations, congestion management, voltage control) with a single architecture and to learn from multimodal data
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efficiency. You will then investigate new sensing principles and develop energy-efficient sensor architectures specifically designed for operation at cryogenic temperatures. Throughout your PhD, you will
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architectures capable of operating in changing environments and supporting future cognitive radio systems. This project aligns with global research priorities in next-generation communications, energy-efficient
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implementation of a scalable Digital Twin architecture, data acquisition from industrial sensors, development of predictive models, and validation through simulation and experimental case studies. The proposed
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monitoring techniques, and RF instrumentation workflows to enhance C‑UAS capabilities. Plan, commission, and operate RF infrastructure including spectrum analysis systems, software‑defined radios, direction
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. The postdoctoral fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus
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22.01.2026, Academic staff This PhD position focuses on developing resilient ISAC architectures. This project aims to implement, test, and demonstrate resilience strategies that enhance ISAC system
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AI hardware beyond traditional computing architectures. Gain a unique combination of skills in mathematics, machine learning, and photonics. Be part of a multidisciplinary research team spanning
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. Experience with embedded systems, real-time computing, hardware-software co-design, FPGA development, or hardware-accelerated computing will be considered a strong advantage. Familiarity with efficient