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of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and supporting outreach and
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contribute? You have experience in polymer synthesis and vitrimer materials? You want to develop novel polymeric materials for impact-resistant composite structures? Then we have a new opening for you! The
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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will have the opportunity to investigate innovative solutions using machine learning algorithms and predictive modelling techniques in the context of a collaborative project with Goodyear Luxembourg (one
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. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a
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diagnostics and healthcare solutions. For more information, please visit our page. You will be the scientific liaison for a team developing secure and FAIR-compliant data platforms for storing, managing, and
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actively contribute to the WeForming and EnerTEF projects. WeForming and EnerTEF propose developing automatized and intelligent solution for operating active distributed grids with multiple active asset6s
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functionalities remain limited. To address this, the EMMA project will develop sustainable and functional polyolefins by optimizing the flow behavior of post-consumer polyolefins, applying chemical modifications
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Provide guidance to PhD students Disseminate results through scientific publications Prepare research proposals to attract industry partnerships as well as national and European grant projects Manage
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will consider the lifecycle of the Digital Twin (DT), addressing both its progressive development and the evolution of the physical system it represents. Key research areas include ensuring