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will join ThromboRisk, a prestigious Marie Skłodowska-Curie Doctoral Network. Funded by the European Union, ThromboRisk brings together 17 leading universities, industry, hospitals and research
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models that integrate: Fungal growth & network morphology – How do hyphal structures influence gene flow? Genome architecture – Why do some genes stay put while others hitch rides on Starships
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Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on
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group of patients. Fustolo-Gunnink as since set up an international network that undertakes research across Europe and develops guidelines. She also leverages complexity theory in connecting experts in a
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synthesise complex evidence into clear scenarios and practical outputs that support workforce development and strategic decision-making. Beyond your research, you will contribute to academic publications and
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companies and asset owners. International collaboration and industrial workshops are embedded in the project, providing you with excellent exposure and networking opportunities. Job requirements You are a
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of high‑tech system design—such as the design of lithography machines—can already be automated, current design‑automation tools remain limited to specific domains or subsystems. Given the growing complexity
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into complex tissue-like structures. These structures offer exciting opportunities to mimic organ development and embryogenesis in vitro. However, current organoid models still only partially replicate natural
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, defect localization, temporal reasoning, and predictive maintenance in complex inspection environments. A second contribution involves predictive maintenance algorithms that integrate static data sources
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will be part of a leading team in network data science within the Multimedia Computing Group (MMC) in Computer Science. We share a drive to understand and optimize complex systems ranging from social