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Field
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in radiation–matter interactions, computational modelling, and materials science, with a strong publication record (h-index 36, i10-index 69). Dr Francesco Fanicchia, Research Area Lead: Material
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materials modelling, with the goal of uncovering the fundamental structure–property relationships that govern material performance. You will be based 50% at the University of Birmingham in the Materials
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underlying material perception: our ability to determine how materials will feel to touch, just from seeing them. Understanding this process has practical consequences for improving tactile sensing, robotics
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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
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NTNU 30th April 2025 Languages English English English We are looking for a PhD Candidate in Computational Modelling of Thin-Film Magnetic Materials Apply for this job See advertisement This is NTNU
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any prior research and/or relevant work experience Curriculum Vitae Academic transcript Preferable background and/or previous experience or publications in materials science, modelling (across length
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procedure Your complete online application must be submitted no later than 15 May 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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modelling software. Practical experience in advanced manufacturing techniques for novel materials. Opportunities to present research at international conferences and build a professional network across
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modelling tools to understand and tailor the physical and chemical interactions at the interfaces within metascintillators. Cranfield University’s Centre for Materials is internationally recognised