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it is important to assess their performance, sustainability and safety, to maximize their positive effects. The Unit achieves its objectives by combining pre-normative experimental research and desktop
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with privacy by developing techniques that optimize both aspects. The candidate will perform the work together with a team of postdoctoral researchers who are experts on the field and other PhD student
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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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processing, signal processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G
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information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate
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for automation (previous experience is not required but beneficial).A proactive and independent work ethic.Excellent proficiency in English (both written and spoken). Your responsibilities Develop and implement
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims
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Systems, Economics, Mathematics, Operations Research, Computer Science, or a related field Strong knowledge of quantitative and/or computational research methods, ideally in optimization and simulation
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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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sustainability assessment of pharmaceuticals by enabling early-stage prediction of environmental impacts, optimizing synthetic pathways, and supporting data-driven decision-making for greener drug development