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- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); today published
- NIOZ Royal Netherlands Institute for Sea Research
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); today published
- Wageningen University & Research
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Field
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structures for building-integrated wind energy systems. The aim is to push the boundaries of current technology by identifying optimal aerodynamic configurations that maximize wind capture efficiency and
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high-fidelity CFD–machine learning (CFD–ML) framework capable of efficiently analyzing and optimizing rooftop aerodynamic duct structures for building-integrated wind energy systems. The aim is to push
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profitability. Examples include optimizing production speeds to balance output, equipment deterioration, and energy consumption in manufacturing, or designing dynamic pricing and allocation policies in rental
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characterisation techniques; You will identify and implement optimal methods for the integration and testing of materials in real-life conditions; You will perform structure-property correlations and unravel
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methodologies; You will characterise the materials using spectroscopic and surface characterisation techniques; You will identify and implement optimal methods for the integration and testing of materials in real
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of HBGI interventions at three European sites; · Monitoring of physical, ecological, and social performance compared to traditional grey infrastructure; · Iterative design optimization in
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packages that include the elicitation, expression, and structural elucidation of novel antibiotic candidates, as well as lead generation and optimization. In the end, the research is projected to lead to a
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, rental platforms, and production systems—where decision-making must balance conflicting objectives, leverage real-time data, and ultimately support sustainable profitability. Examples include optimizing
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Discrete Element Method (DEM) models to simulate the charging and formation of multi-component, poly-disperse burden mixtures in the blast furnace. The goal is to optimize burden structure and permeability