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strong background in industrial engineering, computer science, software engineering, energy systems, robotics, or related disciplines Interest in AI, simulation, and optimization for energy and industrial
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. The group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems from real applications and
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description Conduct a literature review on SSMs, LLM architectures, and hardware acceleration techniques. Investigating design choices that optimize the model across both the hardware and software stack. Design
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.) Familiarize with standard CMOS modeling tools and limitations of traditional EDA tools at cryogenic temperatures. Define the system architecture of the quantum interface unit, including control, readout, and
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the Spiking Neural Network (SNN) itself. However, close collaboration with another PhD student working on the SNN hardware design is expected to ensure seamless signal interfacing and system integration. Key
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chains. SDU TEI is situated in a region with a robust network of companies, including some of Denmark’s largest global industrial players, such as Danfoss, Linak, and Siemens, as well as numerous SMEs