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graph using RDF, OWL, and related technologies Designing and implementing workflows for data ingestion, integration, and querying across multiple systems Driving use-case studies that demonstrate
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PhD Stipends within Distributed, Embedded and Intelligent Systems (DEIS) At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend is available within
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. Responsibilities: Conduct research in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function
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chemistry, designing and testing porous composite materials for advanced water remediation. What We Offer: Access to world-class facilities at DTU Nanolab, including cutting-edge electron microscopy
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geometries”. The position is funded in the context of the project MADE React co-funded by the Innovation Fund Denmark. The PhD student will be working in the framework of the ongoing collaboration between DTU
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systematic phases: first, establishing a robust data foundation; second, designing a modular and open digital platform; and third, developing a predictive maintenance application as a proof of concept
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cutting in the production facility. Establish a numerical model to simulate the glass cutting process. Design experimental measurements and assist in the integration of sensors in production. Acquire
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-funded by the Innovation Fund Denmark. The PhD student will be working in the framework of the ongoing collaboration between DTU Construct, and Danish companies with interest in implementing solutions
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powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design
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Job Description Are you passionate about neuromorphic computing and hardware design? Do you want to contribute to the next generation of brain-inspired computing systems for healthcare applications