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Field
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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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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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high-tech industries; Work in close collaboration with the University of Groningen, Tilburg University, and industry partners to shape the future of AI in Dutch manufacturing; Conduct case studies
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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
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the