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. The work involves areas such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research is carried out in
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: UPPRAISE and MEDUSA. These projects aim to advance intelligent, adaptive, and sustainable industrial systems. The work involves areas such as AI-assisted automation engineering, digital twins, semantic
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robots operating in cluttered and semantically complex environments. -Advance ground-aerial collaborative autonomy methods for resilient multi-modal navigation and situational awareness. -Mission-specific
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semantic representation models for sign language. Such representations are key to allowing SL to be efficiently processed by large language models (LLMs), and will lead to machine learning models that can
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environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based traversability-aware path planning and safe trajectory generation - Resilient mission design for
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the dysregulation of Wnt signaling in both colon and liver cancer, extensive knowledge on both intestinal and liver cell biology is a formal requirement. Ideally, you combine solid experimental experience (including
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classification and multi-layered environment mapping -Digital twin generation for natural environments -Semantic scene-understanding in natural environments for robust decision-making -Learning-based
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. Contribute to research projects within discrete-event systems, supervisory control theory, and formal verification of automation systems. Engage in teaching at undergraduate and master's levels, if required
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into elementary particle physics from model building and Dark Matter to formal Quantum Field Theory. Organizationally we are part of the division of Subatomic, High-Energy and Plasma Physics within the Department
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us The High-Energy part of the Theoretical Subatomic Physics group performs research into elementary particle physics from model building and Dark Matter to formal Quantum Field Theory