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computational model to capture the complex transport of gases, liquids, and charges in these porous structures, including the complex interfaces between them. Insights from the model will directly guide the
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research together with cutting-edge materials science and physics. Depending on your background you will work collaboratively on the following tasks with either with a stronger model-development or
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Your Job: Join an interdisciplinary team that brings state-of-the-art AI research together with cutting-edge materials science and physics. Depending on your background you will work collaboratively
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manufacturing (3D printing) techniques. The purpose of the studentship is to develop a next-generation in vitro model of aged human skin to evaluate the cytocompatibility of materials used in maxillofacial
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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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context of energy transition and industrial decarbonization, the recovery of waste heat represents a major technological and environmental challenge. This low-grade thermal energy remains largely
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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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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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component behaviour. 3. Extend and apply existing core loss models to novel materials, leveraging insights from the MAGNIFY network. 4. Conduct a stochastic study on how strand positioning within
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30 Aug 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering Researcher Profile First Stage