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PhD position in detector development for the next generation of cryogenic dark-matter axion exper...
largest and most complex scientific instruments in the world, and provides a unique and stimulating environment for students and researchers from across the globe. Our group at CP3 provides hands-on access
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. Deploying models in edge environments requires navigating a fundamental conflict between model complexity and environmental volatility. Real-world edge environments remain highly dynamic: data streams
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in complex biological networks e.g. food webs, forming the foundation of natural ecosystems. Yet, we lack the tools to predict how these networks change in time and space. This is especially critical
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pharmacology, to better understand the complex interplay of the many factors that drive cardiometabolic disease. You can learn more in the Executive Summary of CBMR's Strategy 2024–2028 . CBMR was established in
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, logistics platforms, industrial ecosystems, and regional transition actors depend on strategic partnerships across complex networks of port authorities, energy companies, logistics actors, industrial firms
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, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply
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for 3-year PhD positions in computer science with emphasis on formal methods. Possible topics include (but are not limited to) computational complexity, distributed systems, human factors, logic
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to translate complex model results and data analyses into new general insights about shallow groundwater behavior in cities. The project is carried out in close collaboration with COWI and Danish water utilities
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implementation is an advantage Strong problem-solving and analytical abilities Ability to work independently and structure complex research tasks Interest in interdisciplinary research at the interface
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grow in complexity and scale, traditional monitoring approaches are insufficient to ensure efficient, reliable, and fault-free operation. This project will develop novel AI methods that bridge first