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-learning energy trading algorithms that are able to cope with these challenges. By leveraging real-time data, developed algorithms continuously adapt to market dynamics and respond to changing market signals
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manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool design and material
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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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opportunities” (HARMONI). The project is led by IDENER (Spain) and has 13 participating organisations from 7 European countries. The overall aim of HARMONI is to develop a platform for improved prevention
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, in collaboration with the NanoElectronics (NE) group at the University of Twente and the Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart
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, the University of Twente (Biomedical Signals and Systems group; BSS) in collaboration with the top clinical hospital Ziekenhuisgroep Twente aims to develop such a health condition monitoring system to assist
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, integrating AM into supply chains demands new models and methods. In this PhD project, you will: develop dynamic supply chain design models that enable the repositioning of AM equipment based on Defence
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, and materials science. In this PhD project, you will: Develop an experimental platform to study 3D self-organization of active particles. Fabricate and characterize light-driven microswimmers. Use
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societal challenges, local decisionmakers, such as municipalities and project developers, need to deal with making implementation decisions in their daily activities as asset manager, investor, construction
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to shape the future of AI in Dutch manufacturing; Conduct case studies, surveys, scenario analyses, and foresight research to develop decision-support tools for AI adoption; A 4-year fully funded position