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by design. The lab also develops AI that runs efficiently on small, low-power devices. The goal is energy systems that are smart, secure, and able to protect themselves. The two stipends are open for
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for this PhD project consist of combining empirical studies in healthcare environments, such as observations and interviews, with prototype design and development. The project will develop new knowledge on how
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tasks The AI:GeoComm Lab invites applications for two PhD positions, each contributing to the shared goal of developing advanced AI-enhanced atmospheric sensing and communication reliability. The lab
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, there may be groups of different parameters producing the same output as the true system parameters, making it almost impossible to uniquely recover the actual ones. AI:Wind-Lab aims to develop a set of
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(LLMs) to explore historical text data and cultural heritage collections. Collections of historical texts are increasingly used to train AI, but, consisting of highly heterogeneous text data
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power electronics to enhance the reuse and recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate
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nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a variety of Earth surface processes. This PhD position focuses on developing analytical models
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Communication, the Faculty of Social Sciences and Humanities and the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, the Faculty of Medicine. AI:GENE-XPLAIN develops AI tools
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stipends. Stipend 1: AI-Driven Data Management for Knowledge Graph Construction and Querying You will develop methods for constructing and querying knowledge graphs, with a focus on integrating generative AI
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD