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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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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 NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design 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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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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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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will assist in the design and testing of the leaf replica, whereas the fabrication will be performed by specialists in the clean lab. You will leverage and develop your expertise to generate new