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virtual/augmented/extended (VR/AR/XR) environments to support learning of scientific concepts and practices at the university-level. This work package investigates how such cutting-edge educational
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digital twin capabilities to all respective levels of the manufacturing system, combining machine learning, decision-making, and optimisation with Digital Twins. This should allow systems to dynamically
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The project involve conducting high-quality research at the intersection of thermo-fluids science, AI/machine learning and optimization. We envision that: You have an open mind and can think creatively in