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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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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips
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proposed starting time is August or September 2025. The appointment will be made at a competitive salary and will follow the PhD study programme at the Faculty of Science. Application deadline: 18 June 2025
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of parasitic in electric machine Experimental Work: Develop, demonstrate and test the electric drive system International Exchange: Participate in an international research exchange program (3 months to 1 year
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influence its development directly. We are currently evolving our mechanical engineering degree program and constructing labs to support both educational activities and research. Workplace description
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to develop comprehensive policy recommendations to reduce disparities in health care access across Denmark. Specifically, the PhD project will focus on the two key areas: Barriers to settlement and retention
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Job Description Are you passionate about designing ultra-low-power electronics for neural and wearable systems? Do you want to develop custom CMOS circuits that serve as the foundation
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of the biggest challenges is the development of efficient, scalable, and low-noise control electronics that operate at cryogenic temperatures. This PhD project addresses this challenge by designing CMOS-based
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, which includes researchers and developers at universities and industries on both sides of the Danish-German border. CIE is a initiative striving for high quality and great impact of its research
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multidisciplinary research initiative focused on developing intelligent assistive technologies driven by brain-inspired computing. The broader goal of the project is to enable seamless interaction between humans and