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languages and platforms (e.g., C/C++, Python, real-time operating systems). Research experience in artificial intelligence, real-time control systems, or adaptive system architectures. Familiarity with
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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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background in CMOS/VLSI design, computer architectures (preferred RISC-V architecture), and deep learning principles. Experience with industry-standard EDA tools such as Cadence suite: Genus, Virtuoso, Spectre
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, suitable for wearable or implantable devices. The research will focus on hardware-software co-design, from modeling spiking behavior to implementing scalable architectures on silicon. Key research themes
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cryogenic electronics, CMOS behavior at cryogenic temperatures (4 K and below), and quantum hardware architectures (superconducting qubits and spin qubits). Collaborate with quantum physicists to interface
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Job Description SDU Civil and Architectural Engineering (CAE) invites applications for a PhD position in Structural Engineering, with a focus on advancing probabilistic modelling techniques