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together with other energy assets, such as electrical boilers, within a Model Predictive Control (MPC) framework that optimally balances electricity and heat production. Within FLEX-SMR, this PhD focuses
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to predict traffic demand, user mobility, and network conditions, enabling autonomous decision-making that maximizes network performance and user experience. A unique aspect of this research is the integration
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individual and contextual factors predict successful knowledge transfer across virtual-virtual and/or virtual-real contexts. The outcome will contribute to new concepts and methods for studying spatial
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and education platforms. For detailed information about the XJTLU Entrepreneur College (Taicang), please visit: https://www.xjtlu.edu.cn/en/study/departments/entrepreneur-college-taicang/ ABOUT THE
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convection. Once the saturation point is reached, a boiling flow develops. Various flow regimes emerge depending on the control parameters. In Llo, the generated steam is used in a turbine to produce
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surface topographies. Integrate high-frequency current-pulse monitoring and data-driven approaches for intelligent process control and performance prediction. Investigate the relationship between EJM
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quality, particularly in controlled environments such as greenhouses and vertical farms. By integrating plant physiology, modelling, and data-driven approaches, the group aims to predict plant performance
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products. At NTNU, a central part of the project is the development of more predictable and efficient methods for the refactoring and heterologous expression of biosynthetic gene clusters (BGCs). The PhD
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: https://www.microman4health.eu/ ). (Data-Centric MicroManufacturing Platform for Added Value in Health Sector). MicroMan4Health pioneers a data-centric micromanufacturing framework for added value in
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. We particularly welcome scholars with outstanding achievements in areas such as Industrial AI, Intelligent Control Systems, and Industrial Software. Key Responsibilities Scientific Research: Conduct