157 Engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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- Delft University of Technology (TU Delft)
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, while also providing opportunities for in-situ measurements and collaboration with external partners. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS
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. For this purpose we envisage advanced electricity based methods. As the process is aimed to be operated at large scale, the reactor technology to be selected is to be scalable. At TU Delft within the department
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University of Technology) Working at TU Delft means contributing to solutions that really make a difference. For over 180 years, we have been training engineers who make an impact worldwide in companies
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for new and improved metrology solutions to meet these challenges. Digital holography (DH) is a technology that can provide single shot full wavefield imaging of flat single layered structures. However, its
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. We are recruiting two PhD researchers who will work as a closely connected team. One position focuses on creating wideband current-sensing technology; the other focuses on sensor characterization and
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The integrated devices & systems (IDS) and Engineering Dynamics (ED) groups at the University of Twente have a vacancy for a PhD student on the research topic “sensing viscosity in liquids”. Flow
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well as a wise use of machine learning methods. The candidate should hold an MSc degree in Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly embedded in a physics
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Are you fascinated by scientific and technological innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic
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high-performance applications. The project brings together materials science, powder technology, additive manufacturing, and data science. Silicon carbide is widely used in demanding thermal, structural
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geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental