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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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software (e.g., C++, ARGoS, Gazebo, ODE, Webots, USARSim) and hardware (e.g., sensors/actuators, Arduino, Raspberry Pi). You have a keen interest in language evolution, language change, language learning
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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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for molecular system. Recently, we reported a major breakthrough in using chemical reaction networks for so-called in chemico reservoir computing (Nature, 2024, 631, 549–555). This work demonstrated that self
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international networks that are useful for this position; Article 9 certified (legal qualified to perform animal experiments) is a plus; Experience in analytical chemistry, ISO17025, statistics and data analysis
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? Then consider advancing these theories with us. In this project, we aim to extend the powerful tools of statistical mechanics on graph and network models to broader applications in soft and active
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. Process driven research activities are performed in the field of chemical and biochemical systems, mechanical and electric systems and system networks. Typical product sectors include biobased products
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extend your network. Good English skills and a will to work in a multidisciplinary topic are a must. Organisation The chemistry and life science research in the Leiden Institute of Chemistry (LIC) https
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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