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the design and optimization of multiphysical systems, with a particular emphasis on high-performance computing methods. This includes structural design of fluidic, thermal, microwave, and acoustic devices
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for this position will be: Solid modeling and design of high-performance integrated photonic devices Process development of low-loss photonic integrated circuits on different material platforms Heterogeneous
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this project you will develop methods for high-throughput phenotyping of microorganisms, refining experimental and computational workflows for the generation of omics data at a high-throughput. You must have a
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systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer advancements in high-tech distributed and embedded systems technology, driving change
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at the intersection of control engineering, power systems, and renewable energy integration. The PhD project supports the development of independent, high-quality research and provides a strong foundation for both
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including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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, to ensure seamless connectivity and interoperability, balancing high usability with robust and efficient network requirements Providing recommendations for further digitalization of the mission critical
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. Collecting and analyzing data from a full-scale (150 kWh capacity) pilot installation at DTU. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation