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Optimized Design and Control of Soft Aerial Manipulators), in collaboration with INRIA Lille Nord-Europe in France and its leading Defrost team in soft robot simulation and control, see https
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networks, 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
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to develop and optimize experimental pipelines.Gain experience in both wet-lab and computational techniques to tackle some of the most important questions in microbiome science.Independently drive research
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to scale up and demonstrate sustainable processes for industrial (bio)manufacturing of pharmaceuticals by integrating environmentally friendly technologies and processes. However, given the complexity
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the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost
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to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus
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decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy
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with the topic ‘Direct visual process quality feedback to optimal machine operation in sustainable manufacturing’, under the supervision of Prof. Jeroen De Kooning and Prof. Kurt Stockman. The aim is to
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of UHPC behavior. By monitoring damage processes at an early stage, material optimization can be achieved, and prompt maintenance actions can be taken to prevent compromised performance, ensuring safety and
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together with a Nature-based solution should be evaluated and compared with other tested technologies. One main goal is to optimize existing technologies, combine them into innovative treatment trains