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petrographic carbon oxidation on land. The work will be conducted in the Villum Foundation-funded center EnBiE (Center for Environmental and Biological Evolution) with the Nordcee group. We are looking
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for the green transition of the energy sector. Our research develops innovative digital tools and methods, combining cutting-edge AI, simulation, and optimization, to create smarter, more resilient, and
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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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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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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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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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student to work on the development of new theoretical frameworks for describing light–matter interactions in advanced nanostructures probed by polaritons generated through inelastic electron tunneling
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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