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Vacancies PhD Position: Advancing Computational Mechanics through Machine Learning Key takeaways Machine learning is revolutionizing computational mechanics, enhancing the solution of complex
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for the automated production of high-quality, lightweight aerospace structural components. The PhD project involves the experimental determination of the detailed distribution of temperature and heat transfer during
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at Resources and recycling, Faculty of Civil Engineering and Geosciences. The position focuses on developing innovative thermo-mechanical methods of recycling fine aggregates retrieved from construction and
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for the automated production of high-quality, lightweight aerospace structural components. The aim of this PhD project is to develop and implement advanced simulation techniques to characterize in detail
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, TU Delft. The Department of Engineering Structures focuses on the development of resilient, smart and sustainable structures and infrastructures. Our aim is to meet societal demands in transportation
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Organisation Job description Topic of research: Friction-switchable surfaces Computer chips are the building blocks of all modern technology. The smallest structures on the most advanced chips
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expertise and techniques from food technology, sensory and consumer science and soft matter physics to deliver new insights into structure-property relationships of fibrous PBMAs. The new insights can be used
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modern technology. The smallest structures on the most advanced chips are currently 5 nanometers. ASML’s EUV (extreme ultraviolet) scan technology enables the scale of the smallest feature to be reduced
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wave physics: Metamaterials. These are engineered composite structures, invoking dispersive wave phenomena to gain exotic properties that go beyond what is considered possible in Nature. A key property
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ownership structures aiming to enhance sustainable employment for workers with disabilities by prioritizing principles such as equitable access to quality work, solidarity, and trust. As such, the PhD project