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University and TNO jointly offer a PhD position focusing on the development of an integrated stressor-receptor-impact assessment framework for offshore wind farms. The project will focus particularly
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learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven
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in material availability, steel quality, recycling systems, and technology deployment affect the environmental performance of the European steel sector and its transition towards a circular and low
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, and valorization of EAF slags. The PhD candidate will contribute to understanding how future changes in material availability, steel quality, recycling systems, and technology deployment affect the
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), Computer Science (Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development
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evidence. The aim of this project is to investigate thoroughly whether tVNS genuinely improves cognitive functions. For detailed project information, see: https://rb.gy/wmiqqk (project WP1) Your
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contribute to this mission. Within the institute and the academic community, a dedicated and passionate atmosphere prevails. The themes of Health and Wellbeing, Social-Cognitive-Affective Decision Making