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project, you will develop machine learning models that learn from high-throughput experimental datasets to uncover structure–property relationships and guide the selection of new experiments. The datasets
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their surfaces and can be observed. Join a highly interdisciplinary ERC-funded team combining laboratory experiments, modelling and JWST data to explore the most promising extraterrestrial environments for life
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models to analyze multimodal video data (facial expressions, tone, behavior, and speech) for dynamic wellbeing assessment. You will work with open-source datasets as well as video material from
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impact on the northern Greenland Ice Sheet with coupled models. You will collaborate with leading scientists in Germany and The Netherlands, and become an all round scientists who uses both models and
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offers a PhD position on the role of macromolecular crowding in ageing and neurodegenerative diseases, studied in the model organism C. elegans. Your job The living cell is highly crowded with
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simulation models. Often building on gaming technology, these systems offer an immersive environment where players can explore the real world, adapt it, and inspect simulated effects. Geospatial digital twins
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infrastructure operators, and cyber-physical security professionals design and implement effective defense and resilience models and measures for adversarial attacks. The project will combine existing systems and
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diseases, studied in the model organism C. elegans. Your job The living cell is highly crowded with macromolecules such as proteins and nucleic acids. Proteins are continuously at risk of aggregation, which
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wider socio-demographic contexts and spread through social networks. Using survey and register data, you will develop typical household profiles, design an agent-based model, and test interventions in
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Sheet. You will measure sea ice change with satellites, and assess its impact on the northern Greenland Ice Sheet with coupled models. You will collaborate with leading scientists in Germany and The