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colleague as Postdoctoral Researcher in Plasma Topcoats for Engineered Textiles. This postdoctoral position is part of a large European consortium project focused on the development of novel functional
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scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part
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experimental and numerical approaches. Materials classes of interest include components (monomers, polymers, additives, (nano)particles, etc.) utilized in high-performance polymeric materials with relevance in
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email will not be considered. Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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represents you as a suitable candidate, and why? This could be, for example, a publication or part of your PhD thesis. If you choose a publication with multiple authors, please also explain your own
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. The candidate’s tasks include the following: Conduct research as part of the EdgeCR project, contributing to its scientific objectives Disseminate research results through publications in top-tier conferences and
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motivation in research and your long-term goals? (4) Which of your research works do you think best represents you as a suitable candidate, and why? This could be, for example, a publication or part of your
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will influence our reflectively made decisions even if we don’t believe them. The role is based within the Institute of Philosophy, part of the Department of Humanities at The University of Luxembourg
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. The open position is part of the NAXDivo Core project, funded by the Fonds National de la Recherche (FNR), which aims at generating and analyzing whole organism models (zebrafish and mouse) to dissect