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to technical, legal and organizational constraints. As a PhD candidate, you will develop novel decision-making methods that enable robust decisions for heat transition planning despite these data-sharing
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future energy applications. Rather than simply implementing existing data space reference architectures, you will develop novel methods, architectural patterns, and engineering approaches that enable
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In this project, we develop a new mathematical framework to efficiently model multivariate systems during extreme events like floods, heatwaves, or financial crashes. This PhD position offers a
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how these elements affect microstructure evolution, processing behaviour, and ultimately material performance. Where possible, strategies to mitigate their negative effects will also be examined
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erythrocytes, alongside biomarkers of inflammation and oxidative stress. Using combined laboratory and clinical data, empirically derived algorithms for subphenotype identification will be developed through
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and their antibodies contribute to chronic (low grade) inflammation and the development of cardiometabolic diseases. By studying complement activation and is association with (sub)clinical phenotypes
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to the development of reliable, resilient, and sustainable communication infrastructures capable of supporting future global connectivity. You will join the Embedded Systems group within TU Delft’s Faculty
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, an ambitious ERC-funded research program that aims to develop and evaluate personalized donor health protection strategies for blood and plasma donors. As demand for plasma-derived medicinal products continues
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Offer Description Are you excited about developing catalytic solutions for a circular chemical industry? We are looking for a motivated PhD candidate to work on converting lignin-derived feedstocks
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-specific mechanisms that shape TLS and determine which features could serve as therapeutic targets. With these findings you will guide the development of targeted nanomedicine approaches, including modified