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About the Project Main description: Fiber-polymer composites are innovative ad sustainable alternative in construction due to their lightweight, excellent fatigue and durability, which are widely
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to adapt to climate change. It builds up a national and international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate
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the centuries, intensive land management approaches have caused the landscape to become degraded. The plans for agricultural transition following the UK’s departure from the EU have created a unique opportunity
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restraint conditions. A key goal is to develop both a sensor system and a prediction model for the short- and long-term deformation behaviour of concrete. These tools will be applied to full-scale structural
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to an imperfect combustion in engines) and those emitted outside the exhaust (linked to the abrasion of tyres and the wear of brakes). The dynamics of exhaust and non-exhaust pollutants released into the atmosphere
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) structures. The functional importance of this complexity is under explored. Our recent work indicates that different RNA isoforms adopt multiple distinct and functionally relevant structural conformations
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/thesis: Challenges and opportunities with remote sensing and machine learning in forestry Research subject : Soil science Description: WIFORCE Research School Do you want to contribute to the future
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Vacancies PhD position PRE-MADONA: Governance Structures for the Digital Transformation of Mass-Scale Renovation Processes Key takeaways The Netherlands faces the enormous challenge of renovating
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renovation construction work · evaluate (numerical or data driven) solutions for automated coordinated planning · develop and evaluate self-learning interactive visualisation technologies
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the research project “A Rigorous Framework for Transient Random Dynamics”, funded by the Dutch Research Council (NWO). You will be part of a team with a postdoctoral researcher, supervised by Dr. Maximilian