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PhD candidate to join our materials and manufacturing (M&M) research team. The position focuses on the development of bioinspired randomly featured materials with enhanced energy absorption. As a
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. The position focuses on the development of bioinspired randomly featured materials with enhanced energy absorption. As a candidate, you will establish a hybrid numerical and data-driven bioinspired design
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the Translational Research Accelerator (TRA) theme that will contribute to model development and establishment, to address clinical questions raised within the three projects. The PhD project will be within TRA, and
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, or development studies. You also need to be able to document that you have funding. In most cases, this means that you must have applied for a position as a PhD candidate at the facully or the public sector PhD
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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embedding longevity, material efficiency, and realistic performance limits from the start. This project develops a pioneering methodology for data-driven optimization of next-generation material systems. You
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multidisciplinary network of leading research groups and industrial partners to develop a groundbreaking intelligent and automated energy management system powered by secure AI and advanced digital twin technologies
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experiments to further characterize the melano-macrophages and their role in the development of the melanized foci. Experiments will involve investigations of cell lines and primary cell cultures under
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. 2) the development of computational models to enquire about the mechanisms that enable heterogeneous representations in neural networks. These models will be informed by experimental data. Duties
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partners to develop a groundbreaking intelligent and automated energy management system powered by secure AI and advanced digital twin technologies. Digital twin technologies offer a promising approach for