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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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-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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, 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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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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, and we take pride in creating a space where young researchers can develop their skills and thrive both scientifically and personally. In daily work, the PhD student will report to associate professor
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the applicant’s educational background and previous research experience most relevant to the offered position and the reason for applying to the PhD program. Curriculum Vitae. Master’s and bachelor’s
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decisions within SMEs, while also developing agentic AI for modular micro-services. The call is open for applications between October 1 and October 30, 2025, and the specific start date will be agreed upon