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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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the candidate will work under the DANARC project that aims to develop a robotic-based system capable of autonomously performing cardiac ultrasounds. The starting date will be agreed with the successful candidate
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duration of 3 years. Applications for a 4+4 PhD programme are also welcome. The proposed starting time is spring 2026, with some room for flexibility. The appointment will be made at a competitive salary and
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. Cox. The position is available starting 1 December 2025. The successful candidates will work on developing new theoretical models and computational methods to investigate the emergence and properties
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is currently limited. As a PhD student, you will work on the Novo Nordisk Foundation NERD-funded project aimed at developing innovativechemical tools that will enable precise elucidation of roles
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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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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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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