288 computer-science-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" PhD positions in Netherlands
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process. This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying
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international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward. Faculty of Electrical Engineering, Mathematics and Computer Science
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and build a Digital Twin that links atomic-scale chemistry, mesoscale transport, and device-level performance, allowing researchers to test, predict, and optimize designs in a computer before building
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position is part of TUNED (TUnnelontwerp en engineering voor een geologische eindberging in kleilagen in NEDerland), a 4-year research project bringing together TU Delft, COVRA, EURIDICE, Fugro, ONDRAF/NIRAS
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of Technology and QuTech. The goal is to further develop fault-tolerant architectures for photonic platforms based on fusion-based and measurement-based computation, addressing photon loss and other hardware
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some experience with programming and/or scientific computer software is considered a plus. This is what we offer you A temporary contract for 38 hours per week for the duration of 4 years (the initial
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Car tires are very important and complex parts with high safety and reliability requirements, responsible for maintaining the contact between a vehicle and the road. Tires are subject to wear due to the tire – road interaction, causing the emission of micro particles in the environment with...
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antenna and RF systems in a fast and accurate manner. In the computational Electromagnetics research group (EMPMC lab), we have been pioneering the “Linear Embedding of Green’s Operators” method, which is
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; You will design and conduct novel empirical studies; You will investigate new insights across disciplines, including sociology, political science, computational social science, and data science; You
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the following qualifications, knowledge and skills: A master's degree in Civil, Geotechnical, Mechanical, Aerospace Engineering, Applied Mathematics/Mechanics, Computer Science or related areas. Demonstrated