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implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable solutions. This includes software-defined SoS
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between
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description The subject of Energy and Environmental Engineering is built up and developed by the research in the research specialisation of Future Energy. This research programme is mainly technologically
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on developing novel memory and logic devices based on TMDs. These will target both near-term industrial applications and emerging neuromorphic (brain-inspired) computing architectures for AI accelerator hardware
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detection. Manage data with custom-developed filtering techniques. Use the data in architectural design processes involving reuse to create design options for reused component distribution using machine
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flow phenomena. The goal is to integrate theoretical and experimental fluid dynamics with modern computational tools to analyze and predict multiphase flow behavior. The project also involves applying
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user-friendly sensor systems for health data monitoring, reliable health data measurements and data communication in distributed environments, as well as reliable distributed signal processing and AI
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the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
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of researchers (senior scientists, post-doctoral fellows, graduate students and research engineers) with different areas of expertise. The research program is multidisciplinary with competence in computational