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sources, and that the operations must be less predictable in their chosen transport means and locations. Thus, the goal is to explore reduced predictability while sustaining the units to be supplied
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the preparation and writing of grant proposals and research publications. About the project With the world’s population predicted to surpass nine billion by 2050, substantial challenges emerge regarding food
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dry fractionation and agglomeration trials to improve functionality of legume ingredients? Do you want to understand rheology of hydrated ingredient blends to predict extrusion behaviour for meat
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understand data, and then make useful predictions based on it. These algorithms integrate insights from various fields, including statistics, artificial intelligence and neuroscience. To find more information
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conferences, and academic journals. Your project will lead to better predictions of future coastal dune development and enhance the design and implementation of nature-based solutions. To support academic and
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properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and used to establish such a
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capable of local shrinkage or expansion upon application of heat. The response should be predictable on the nm level from basic understanding of the processes involved during growth and heating. Key
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materials, to aid design of novel more energy-efficient processing routes. The development of these digital twins requires reliable and predictive models for microstructure formation during steel processing
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to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
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-organising reaction networks and the emergent complexity in such systems form powerful reservoir computers capable of non-linear classification, times-series prediction and forecasting, on a par or even