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temperature thermal energy storage and integrated systems. The doctoral student will have a broad perspective focusing on technological development, laboratory testing and techno-economic analysis to identify optimal
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coordination and control of multiple variable energy carriers reduce CO₂ emissions while ensuring a stable energy supply? The project will advance reinforcement learning methods and model-based optimization
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of numerical modelling (e.g. CFD, FEA, FSI, optimization, ML), but we are also involved in experiments and real-life monitoring to support our findings. Besides research, our division is actively involved in
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of heuristic models, mathematical programming, machine-learning and multi-objective optimization. Teaching includes basic and advanced courses within the subject, for example in the international international
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optimize protocols for high-resolution spatial transcriptomics and gene expression profiling in pancreatic tissue slices Perform live tissue imaging, calcium imaging, electrophysiological measurements, and
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central role in streamlining and standardizing the design flow for quantum device fabrication. This includes implementing and improving design rule checks (DRC), optimizing and debugging code, and
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Subject description Mathematics in a broad sense, which also includes mathematical statistics, numerical analysis and optimization theory. Duties As an associate professor within the framework
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public procurement. This research addresses a broad set of topics including optimal taxation and public expenditure, income formation, household responses to taxation and other economic policies, social
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KAU whose mission is to optimize the circularity of bioeconomy); contribute to teaching and education in degree programs and to develop your own pedagogical competence; contribute to the ongoing
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on how your research can be further developed into innovations. You are interested in driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize