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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
We are pleased to announce a self-funded PhD opportunity for Quantitative assessment of damage in composite materials due to high velocity impacts using AI techniques. Composite materials, such as
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electrochemical synthesis of copper/carbon composite materials for a two-year position. This project is part of a large collaboration between LIST and Circuit-Foil, a copper foil manufacturing company based in
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radiation. PMOD is traditionally widely involved in all communities focused on chemistry-climate modelling, monitoring of ozone and atmospheric radiation, and solar physics. (https://www.pmodwrc.ch/ ) Task
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Chemistry and/or Polymer Materials Science, with a strong background in these areas. Applicants should also have good communication and writing skills in both French and English. The PhD project will be
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: Natural fiber reinforced materials are increasingly used as environmentally friendly alternatives for composite materials, due to the sustainability and circularity of the natural fibers (e.g. hemp, flex
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description: The focus of the RTG is on the development, characterization and modelling of novel, multi-phase composite systems capable of withstanding temperatures substantially beyond 1300 °C and harsh
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directly influence the development of high-performance demonstrators that are being developed as part of a larger project focusing on recycled composite materials funded by a UKRI Fellowship. Through this
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Description At the Department of Materials Science, Faculty of Engineering at Kiel University at the Chair of Composite Materials (Prof. Tayebeh Ameri), starting at 01.04.2026, we are looking for a Researcher
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about LIST? Check our website: https://www.list.lu/ How will you contribute? You will model the mechanical properties and plastic deformation of materials with diverse compositions of Ti and C and
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Reliability of Sustainable Materials. The stipend is open for appointment from March 1st or soon hereafter. The duration of the position is three years. The position is with the department's research group Risk