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robots. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions
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University is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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of pioneering the next generation of human-induced pluripotent stem cell (iPSC)-derived organoid models. We focus on creating organoids with precise cell types, architecture, and functions that closely mirror
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software architecture and signal processing. You will work closely with our international team of collaborators to ensure the system meets the rigorous requirements for clinical skin sample analysis. Your
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Associate, you will develop AI-enhanced Digital Twins for solar energy systems, enabling real-time monitoring, predictive maintenance, and performance optimization. You will design modular architectures
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experience: Essential criteria PhD in computer science, AI or related area Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS
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, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to the cloud. Implementation of pipelines to collect real-time data from IoT sensors. Expertise in
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Job Description A 2-year Postdoc in Internet of Underwater Things (IoUT) is available in the Embedded Systems Engineering (ESE) research section at DTU Compute , where you can help build up and