36 Materials-Science "University of North Texas" PhD positions at University of Amsterdam (UvA)
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. Requirements Specific Requirements You have: Master degree in Physics, Physical Chemistry or Electrical Engineering; Experience in the following fields: 2D materials, Nanofabrication, (2D material) devices
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Your experience and profile: a first masters degree or equivalent in computational science, computer science, chemistry, physics, applied mathematics, materials science or an allied field research
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dedicated to the techno-economics of batteries as an electricity storage option. What are you going to do? Essentially two main thrusts of research will be undertaken under this PhD project. First, learning
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engineering, physics, materials science, or computational science with a specialization in natural science; A strong background in chemistry, physics or computational science; Affinity and/or experience with
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University, Canon Production Printing (Venlo), AkzoNobel Performance Coatings (Sassenheim), Reden (Engineering and simulation, Hengelo OV) and the Rijksmuseum in Amsterdam. The project is financed by NWO and
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to conservation practice to chemistry to answer complex material questions. You have the ability to find creative solutions for both practical and theoretical problems. You thrive when working in diverse
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structure formation for the design of artificial meat. Understanding of filamentous protein networks is essential for designing and creating artificial bioinspired materials such as plant-based meat analogues
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at the Department of Educational Sciences at the University of Amsterdam who will work on selection practices in secondary education. The current project will employ a mixed methods design for which different data
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, able to think deeply about issues and who can surprise us with novel insights. The following qualifications are essential: a Master’s degree or equivalent in Sociology, or in the adjacent Social Sciences
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? Your tasks and responsibilities: perform novel research in the area of event-based communication algorithms for digital twins, defining formal models, engineering respective software frameworks