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challenges in developing future BCIs is to increase the number of brain signal channels while keeping the system very small and energy-efficient. This is very important for implantable or wearable systems
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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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electronics, which includes researchers and developers at universities and industries on both sides of the Danish-German border. The position starts on September 1, 2025, or as soon as possible thereafter
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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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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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. The PhD project in the Loft Group will investigate how patient-specific responses to obesity and type 2 diabetes in human adipose tissue contribute to the development and progression of MASLD and CAD
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. Qualifications The successful candidate holds a Master of Science in Engineering Science, preferably focusing on Innovation and Product Development, with excellent CAD skills and can collaborate in cross
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generally. The expectation is that the PhD project can extend on and further develop these theoretical debates by applying them to extreme wealth. The central question for WP2 is thus: What role should we
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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