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different incentives, mechanisms and regulatory scenarios, evaluating their performance with respect to different objectives and their trade-offs. Developing decentralized and bi-level algorithms to help
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user studies, develop novel algorithms, build immersive/augmented realities, and validate your solutions in real-world settings. This PhD is ideal for candidates interested in one or more of the
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user studies, develop novel algorithms, build immersive/augmented realities, and validate your solutions in real-world settings. This PhD is ideal for candidates interested in one or more of the
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, extensive computing resources and close day-to-day supervision within the group. Tasks and responsibilities: include developing reconstruction algorithms for the muon bundles recorded by KM3NeT; extracting
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: include developing reconstruction algorithms for the muon bundles recorded by KM3NeT; extracting air-shower observables such as muon multiplicity, lateral separation and energy; using these observables
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with advanced photoreactors, modular LED light sources, inline analytics, and machine-learning algorithms for the autonomous optimization of photocatalytic reactions. Research will address key challenges
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, automated design-space exploration, and cross-technology benchmarking, providing new insights into the co-design of learning algorithms, memory technologies, and neuromorphic hardware architectures for future
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work to segmentation algorithms with computer scientists. It is a preference if you additionally have experience in performing interdisciplinary research together with another scientific specialty