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. By engaging citizens as active contributors to science and running surface health monitoring, the project aims to transform running events into living laboratories for innovation in health, social
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technologies. As the design principles for long-lived molecular magnets become clearer, the next challenge is assembling these units into spin lattices via surface deposition and addressing their magnetic
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tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This PhD position focuses on scenario development, as well as the modelling
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corresponds to the level of a Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore
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, advanced digital signal processing and machine learning algorithms, the system will be designed to recognize and characterize building activities, occupancy patterns, environmental conditions, and other
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scientific programming. Together, these approaches will provide a comprehensive framework for investigating the physical principles governing chromatin organization and dynamics. Where to apply Website https
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-wide traffic prediction Design physically consistent and interpretable machine-learning methods for dynamic traffic systems Test and validate prediction models using large-scale real-world traffic data
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evolving and we need your ideas for improvement and innovation to take us further. We want to devote attention to your personal development. You can count on an enjoyable job within the socially relevant
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in which everyone feels welcome and appreciated. Our organisations are always evolving and we need your ideas for improvement and innovation to take us further. We want to devote attention to your
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, and companies across the value chain of biomass. In this PhD project, you will develop state-of-the-art methodologies to: Design and scale up novel processes for the valorization of low-grade biowaste