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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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development and be an attractive and inclusive place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position There is
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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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(ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria
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? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker
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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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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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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria The following qualifications will be considered as an advantage
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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