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and theory-guided machine learning algorithms for the prediction of manufacturing processes in composite materials. Development of user subroutines for finite element constitutive models Validation
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depending upon the needs of the Department of Musicology, Composition, and Theory. Minimum Qualifications Earned Doctorate (PhD or DMA) in Composition, Music Technology, or a related field Demonstrated
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silicon carbide (SiC) fibres (monofilaments) are used in C/C or CMC composite materials (ceramic matrix composites) by the aerospace industry (brake discs, rocket engine nozzles, thrust chambers, leading
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/or experience : PhD in mechanics or in polymer and composite materials science and engineerin Required technical and transversal skills : Expertise in polymer processing technologies Skills in
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experience teaching these practices to undergraduates in a liberal arts setting. We invite candidates with or working towards a PhD or DMA in Composition, Music Technology, or a related field, with preference
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Degree or equivalent Skills/Qualifications Mechanical engineering, Materials Science, Polymer chemistry Master’s degree in Mechanical Engineering, Materials Science, Advanced Composites, Bio-based
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Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances School of Chemical, Materials and Biological Engineering
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machine learning algorithms for the prediction of manufacturing processes in composite materials. Development of user subroutines for finite element constitutive models Validation of model and numerical
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procurement of supplies and liaison with vendors and suppliers. Job Requirements: PhD in Material Science, Chemical Engineering, Chemistry, Physics or a related field. Strong background with experimental
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8 Jan 2026 Job Information Organisation/Company Universidad Politécnica de Madrid Research Field Technology » Space technology Researcher Profile Leading Researcher (R4) Positions PhD Positions