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experiments with quantitative microscopical analysis and physics-based modelling to understand how conifers solve the challenge of solute transport against the flow of water through the needle, and what
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will be to support them in the combination of the knowledge-based and data driven approaches, analyzing more deeply data and knowledge linked to non-classical maneuvers and behaviors, working
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and spatiotemporal scales, i.e., new forms of real-time automation of intelligent active grids including grid-forming converters, using distributed control and artificial intelligence (AI) based
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. The project motivation is based on the current status that, while significant amounts of for example recycled polypropylene and high-density polyethylene are available, their mechanical properties and
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TPMS data, high-speed wheel encoders, CAN data, accelerometer data, and acoustics data. In addition to other cloud-based data for weather-friction estimates and crowdsourced vehicle data for estimating
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scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part
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of neuronal, astroglial and microglial markers in zebrafish and mouse brain samples In vivo imaging of specific brain cells in the transgenic zebrafish and mouse lines Develop phenotypic rescue assays, based
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processing approach based on flow patterning to make meter scale LCEs of complex shapes and actuation modes. ALCEMIST builds on a tight synergistic collaboration between the Experimental Soft Matter Physics
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will be developing control electronics based on Arduino or Raspberry Pi and write the corresponding software, ensuring significant automation and simple user interfaces such that other researchers can
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will influence our reflectively made decisions even if we don’t believe them. The role is based within the Institute of Philosophy, part of the Department of Humanities at The University of Luxembourg