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? Are you excited about developing large-scale and low cost battery technologies? Do you want to work in a multidisciplinary and international team? Information We are looking for a motivated and creative PhD
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This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University of Twente and the
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Description Join us in seeking exciting new developments using graph theory in nearest neighbor models for active matter! Do you enjoy working with graph theory, and seeing how functions on graphs can inform
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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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Your job Do you also feel that assessment systems can be more optimally used to support and empower student learning? Do you like to innovate education, work with teachers and make a difference for
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significantly impact theory and practice! We offer a fully-funded, four-year Ph.D. position focused on collaboration in supply chain networks, leveraging quantitative methodologies using surveys, applied
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orders. Using 3D field recordings and environmental monitoring, you will uncover how different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the
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transitions and requires an interest in both theory development and engagement with practice. The PhD position is part of the larger AMBITIONS project involving TU Delft, Utrecht University, and Avans
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different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in
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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