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, Materials Engineering, Naval Engineering, or related fields, with a solid background in structural dynamics, finite element analysis, and material behaviour. Eligible applicants: Students who are enrolled, or
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computational kernel to effectively generate optimised structure and toolpaths for robot-assisted additive manufacturing with dynamically changed material accumulation directions. The research is funded
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operando analytics, e.g. ICP-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are
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. More broadly, this work will establish a new paradigm for controlling light using intrinsic material properties, with potential implications for thermal radiation engineering and energy systems
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Bio-Inspired Self-Assembling Systems: From Local Interactions to Functional Robots School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr S Miyashita Application
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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medical technology, materials science, renewable energy, to chemical engineering processing, material recycling, nuclear chemistry, theory and modelling. At the division of Applied Chemistry we primarily
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is to create a new material capable of preventing and treating infections. This addresses infectious problems encountered in packaging or production within the food industry, the cosmetics industry
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to relate material properties to electrochemical behavior Your Profile A completed Master's degree in chemistry, materials science, chemical engineering, electrochemistry, physics, or a related
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PhD Position in Engineering Materials Project: Structured Sorbents and Additive Manufacturing for Gas Cleaning Applications Lulea Reference number 3887-2026 Luleå University of Technology experiences