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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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the activities. We are looking for a motivated and skilled researcher with a PhD in Chemical Engineering, Materials Science, Electrochemistry or related disciplines. Background in electrocatalysis, electrochemical
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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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and shape memory effect, allowing them to recover their original shape after deformation. The application of additive manufacturing (AM) technology for fabricating SMA products offers designers a unique
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management and equipment support (0.5-0.6 fte) and research support (0.2-0.3 fte). Job requirements PhD in biomedical engineering or equivalent with research experience focussed on tissue biomechanics
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researcher with a PhD in Chemical Engineering, Materials Science, Electrochemistry or related disciplines. Background in electrocatalysis, electrochemical characterization techniques (e.g., impedance
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Translation Platform. Job requirements A PhD degree in Regenerative Medicine, Biomedical Sciences, Biomedical Engineering, Materials Science, or a comparable discipline. Experience with translational research
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/ administrative activities and committees within the Department of Geoscience and Remote Sensing and the Faculty of Civil Engineering and Geosciences. The successful candidate: Holds a doctorate degree (PhD) in
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At the University of Amsterdam we are looking for a PhD student who is interested in improving the robustness of neural search algorithms. This research, at the intersection of information retrieval