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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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with a second doctoral researcher to optimize the architecture of fiber sensors, fostering synergistic innovation and breakthrough advancements. Optical fiber-based sensing stands as a cornerstone
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, congestion control, link adaptation, and cross-layer optimization). The exact research direction will be refined based on the candidate’s background and interests. You will publish scientific articles related
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environments (edge-cloud), contributing to the realization of intelligent and self-optimizing 6G ecosystems. The research may include: distributed and federated learning across edge-cloud continuum, AI-driven
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scientific analyses of archaeological remains. Based on the workflows and how these intersect, their labour cost rates will be calculated. These calculations, based on optimal socio-economic work patterns, and
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awareness (SA), like our work on Situational Graphs (S-Graphs), improve on existing techniques by combining 3D environmental maps with detailed knowledge about objects into a single, optimized model. First
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on the efficiency of the grazing process, the performance of the herbivores and the health of the grasslands. As theorized by Charnov & Orians, herbivores are optimal foragers able to consume forage at higher rates
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strong expertise in soft and stretchable sensing (e.g., strain-gauge sensing, EIT, PAT), control engineering, optimization, and modeling, along with a strong interest in (soft) robotic systems. You have
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optimization, data science, and sustainability assessments. Its goal is to revolutionize biotechnology by developing comprehensive computational modules that simulate the behavior of bioproducts for food
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to optimization (OR) and education, for which we see two interesting research tracks. The first track focusses on the practical organization of teaching, and may include problems like university course timetabling