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intrinsic stability or robustness properties. You will also investigate how physical insight, prior system knowledge, and stabilizing baseline controllers can be combined with learning to improve performance
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. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty of Physics – as
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AI-driven quantitative analysis and predictive modelling of biomaterials, tissues, and regenerative constructs. The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal
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integrating multiomics data from patient biopsies, cerebrospinal fluid (CSF), blood samples, and patient-derived xenograft (PDX) models. By combining these datasets with advanced artificial intelligence
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investigate how the strengths of modern machine learning can be combined with the rigorous foundations of control systems theory to create a new generation of intelligent underwater robotic systems
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with neurological disorders, yet its effects on everyday movement remain poorly understood. In this PhD project, you will combine cutting-edge physiological measurements, motion analysis and wearable
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partners, we develop technologies and solutions for a sustainable, resilient, and digitalized future, strengthening Europe’s competitiveness and technological sovereignty. Our international teams combine
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
participants interact with AI agents (e.g., developed using CrewAI or similar platform) and will run in teams of 4-6 agents (human or AI), e.g., the teams could be all human, all AI, or combinations
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conditions according to the MSCA eligibility criteria: The candidates must not have lived in Germany for more than 12 months combined in the three years before October 2026 according to the mobility
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on facility location, storage, processing capacity, procurement, and inventory management. The project combines: stochastic and robust optimization, uncertainty modelling, large-scale supply chain design, and