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predictive modelling Development of model predictive control algorithms for energy-efficient and flexible building Contribution to prescriptive maintenance strategies and user-centric digital interfaces
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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for behavioural and security properties; efficient algorithms for model checking, learning and synthesis; improved explainability and safety of machine learning models, e.g. by integrating neural and symbolic
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appointment from January 1st, 2026, or soon hereafter. The Department of Architecture, Design, and Media Technology has as its goal the development of an innovative cluster of engineering-based environments
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. At Department of Health Science and Technology we conduct research, teaching and innovation within engineering, biomedicine, sports science, public health, neuroscience, psychology, and physiotherapy to develop
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climate adaptation. As society continuously evolves in the digital sphere, we also emphasise responsible technological development, grounded in real-life challenges. Our problem-oriented approach and close
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scientist to develop and advance innovative research programmes within plastics and polymer science - including synthesis, characterization, and recycling of polymeric materials – with a proven track record
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Improvement Group, where you will validate the models on realistic workloads and work on model readiness for integration into software quality assessment tools. Together, the partners will co-develop a
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experience with the various Industry 4.0 technologies as well as experience with Learning Factories, agile product development methods, and strategic concept development. Who we are Department of Materials and
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regardless of age, gender, abilities, and ethnicity. In addition, the group has developed and run www.rumsans.dk – a website in Danish about Universal Design. The position is about these themes: Landscape