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stakeholders to develop climate adaptation strategies for interconnected infrastructure systems in the Netherlands. The project focuses on major infrastructure corridors, including the Greater Amsterdam
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Activities (PEAs) and their outputs. In response, this project will develop strategies for making PEAs more visible in OS monitoring exercises, with an eye toward supporting greater recognition and reward
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hydrogen and sustainable fuel production through advanced simulation models and sector-coupling applications. Your main objective will be to develop a coupled dynamic model of an alkaline water electrolyzer
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combine research in Remote Sensing and AI with teaching and student supervision? Have you recently earned a PhD in Remote Sensing, or are you about to finish your PhD, and feel inspired to share your
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peer-reviewed journals and presenting findings at national and international conferences. Sharing datasets, code and educational materials according to FAIR and Open Science principles. Contributing
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? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition, image reconstruction, and AI-driven imaging for groundbreaking clinical
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the end of operations; they develop the science operation systems for the missions and conduct the mission science operations in flight, and archive and curate the mission data during operations and beyond
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identifying relevant entities (who did what, where), and inferring timelines (when, and in what order) and relations (e.g. links to specific countries or groups). A promising direction is to train or fine-tune
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want to develop technology that truly matters in people’s lives? Join us in creating radical innovations that support patients at home Job description The BODIES group, at the department of Biomechanical
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with company Exergy within the EKKO Circular Plastics project. The PD researcher will develop and validate an AI-enhanced, solvent-based recycling process for complex plastic waste streams such as multilayer