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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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At the Technical Faculty of IT and Design, Department of Architecture, Design, and Media Technology, a PhD stipend in explainability in asylum decision-making is available within the general study
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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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production environments, enabling predictive maintenance and data-driven optimization through centralized data platform architectures. Your research will focus on addressing current bottlenecks in data and
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architectures. You will be seconded to the Technical University of Munich during the project. The contributions will include: Conducting cutting-edge research in IoT and Wearable Systems, Communication, Sensing