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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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almost equally abundant in most organisms, highlighting the need to develop and optimize negative ion mode techniques. This project will advance the next generation of proteomics, bridging this fundamental
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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 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 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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, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc students. Secure research
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leveraging real-time big datasets from distributed energy resources (DERs). · Contribute to integrate optimal solutions for operating local energy markets into Real-Time Hardware-in-Loop (RT-HIL) lab
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optimization of novel organic reactions, as well as substrate scope investigation including isolation and characterization of products. You must have a two-year master's degree (120 ECTS points) or a similar