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the research group SDU Structures. The PhD project will focus on probabilistic modelling of existing structures. The successful candidate will carry out research related to the new research programme called
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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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cooling more reliable, and more energy-efficient by developing new ways to store and manage thermal energy. With demand flexibility, solar and wind energy can be used to an optimal extent. The Technical
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. Teaching and supervision of students within the research field will be developed together with colleagues. Work will be performed in close contact to industry, both as part of external funded projects, and
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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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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
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, installation and efficient operation of affordable cooling solutions of buildings in hot and humid climates. The stipend is within the general study programme "Civil Engineering" is open from 15th February 2026
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skilled individuals who prioritize curiosity and trust. What we offer The department/centre offers: a well-developed research infrastructure, laboratories and access to shared equipment an exciting