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Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
-Curie Project NEPIT - Network for Evaluation of Propagation and Interference Training. To expose objects to electromagnetic fields we step to a new position, increase power level until a defined value is
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couplings—a key technology for achieving passive, high-precision, and deterministic alignment between precision components. Unlike active alignment methods that rely on actuators and sensors, kinematic
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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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to coordinate and conduct asset management and maintenance activities across infrastructure networks in the Netherlands. Together with our research partners from Next Generation Infrastructure network, the PhD
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the world, delivering competitive and successful high-quality research. The institute employs 500 people of which 275 are PhD’s or PostDocs. With its unique NanoLab facilities the institute holds 1250 m2
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AI models for network operations. This project is a joint effort between the University of Twente and TU Delft. You will be co-supervised by Associate Prof. Pedro P. Vergara from TU Delft and
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procedures to be applied to RNPU networks in combination with memristive materials and applying the theoretical hysteron concept. Information and application Are you interested in this position? Please send
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benefit from a strong cultural awareness and the ability to engage with broad networks of governmental and community actors in the planning of future urban spaces. Specific case studies will be shaped with
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of the processing system online. Our approach will be to draw on a broad selection of tools including (deep) reinforcement learning, queuing networks, online algorithms and systems engineering. In addition, a large