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parameters can be measured, such as thermal conductivity, density, specific heat, and dynamic viscosity. For the measurement of gas flows, (micromachined) thermal flow sensors are often used because
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Vacancies PhD position on ‘Quantitative and Spatially Resolved Mechanical and Electrical Characterization of high tech functionalized Pigments‘ Key takeaways In this project, you will develop and
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in long-time simulations. The research combines fundamental mathematical theory with applications in areas such as plasma physics, molecular dynamics, and medical physics. In particular, the work
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and climate adaptation. These challenges have a significant impact on our built environment and the actors that operate in this field. Addressing these challenges requires a fundamental change in how
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is the largest and most methods-focused medical statistics research group in the Netherlands, with a strong mix of theory and applied work, all motivated by data analysis challenges arising from real
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operating (Waterstromen) membrane-based wastewater treatment plants. As part of the UT team, you will develop a robust model predictive control (MPC) algorithm based on sensor and other system inputs that can
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part of a collaborative team of PhD researchers working in a dynamic and supportive environment. You will have the opportunity to present your research at leading international scientific conferences
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PhD researcher you will work within a multidisciplinary project which unites expertise from various fields, aiming to improve the quality of life for people in need of organ replacement. It is therefore
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for the purpose of engaging a broader range of actors in critical reflection on future scenarios embedded in their local context. Your research methodology will be developed in the context of multiple research
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becomes a real challenge to uniquely extract information on their layer properties in order to understand and improve their performance. A way to “break the nanometric barrier” for structure analysis is to