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of widespread and significant benefit to game developers and networked systems engineers, leading to improved architectures for real-time physics synchronization in competitive gaming. The project would also aim
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transport, and device-level performance into a continuously learning model of solar-driven energy conversion devices. The position covers the full life cycle of the Digital Twin, from architecture design and
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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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tasks (e.g., power flow calculations, congestion management, voltage control) with a single architecture and to learn from multimodal data sources highlighted as crucial for power systems applications
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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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of the ISO/SAE 21434 standard for automotive cybersecurity is considered an advantage. Knowledge of the AUTOSAR standard and associated automotive software architectures is considered an advantage
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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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. 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
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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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, exploring, simulating, and experimentally verifying various SSC architectures (such as lateral/vertical tapers or multi-layer transitions) to optimize mode matching, polarization dependency, bandwidth, and