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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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knowledge on leaf thermodynamic processes based on continued literature study, mathematical modelling of the leaf boundary layer conductance and its interactions wtih stomatal control and the leaf energy
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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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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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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