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software to increase both the accuracy and efficiency of structural digital representation as virtual digital twins, providing high-quality value-added services to the industry. Responsibilities and
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Hardware-software co-simulation and benchmarking This PhD project is part of SDU microelectronic unit’s effort in neuromorphic chip design and collaborates with international partners working on spiking AI
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Development/upgrading solid oxide cell test setups for advanced electrochemical characterisation, including development of metal test houses Development of dedicated circuitry and analysis software
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modelling or coupled wind-wave modelling Experience with wind resource assessment and site suitability, including WAsP and WEng software Experience using wind turbine wake models Knowledge of meteorological
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vertical migrations. The aim is to perform research across ocean technology and marine ecology. Responsibilities and qualifications Innovate and develop new platforms, sensors, and software, especially wide
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Software Defined Vehicles (SDV). The primary objective is to expand, mature, and industrialize a novel European RISC-V automotive ecosystem that enables next-generation high-performance European automotive
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, secure digital communication, medical technology, and new analytical methods. We use and develop basic theory, next-generation instrumentation, and software, and aim to make our data publicly accessible
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structural design, 3D printing robots, sensors, safe and efficient human machine interfaces, processing units, and software components into a cyber physical construction system. The result would be
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, suitable for wearable or implantable devices. The research will focus on hardware-software co-design, from modeling spiking behavior to implementing scalable architectures on silicon. Key research themes
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to STEM teaching User-centric development and interaction design. Research dissemination Software and Hardware development Applicants should hold an MSc degree in engineering and ICT (equivalent to a Danish