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other XAI paradigms, mainly in robotics and computer vision, encompassing avenues such as smart manufacturing, domestic robotics, and multipurpose robots. It thrives on earlier successful work, e.g. CSK
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sustainable energy and industrial systems. As a PhD researcher with us, you will engage in groundbreaking projects in energy informatics, working closely with leading researchers and industry partners in
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: Solid background in analog/mixed-signal ultra low power CMOS circuit design, including experience with amplifiers, data converters, and bias circuits. Experience with industry-standard EDA tools such as
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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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circuit design, including experience with amplifiers, data converters, and bias circuits. Experience with industry-standard EDA tools such as Cadence Virtuoso, Spectre, or Mentor Graphics. Understanding
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and will be agreed with the successful candidate. The workplace is at SDU's main campus in Odense, Denmark, and the work is expected to be primarily onsite. What we offer An exciting opportunity to work