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they can participate dynamically in multi-energy markets at both building and district scale. You will develop high-fidelity techno-economic models of chillers, heat pumps and thermal energy storage
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integrated building-level electricity–cooling devices, so that they can participate dynamically in multi-energy markets at both building and district scale. You will develop high-fidelity techno-economic
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, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials
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) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of sustainable
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for sustainable energy technologies. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental
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research in deep learning models for multi-sensor satellite data (e.g. SAR, SMAP) within a large international research project on AI-driven solutions for groundwater management. Expected start date and
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for sustainability, energy, and health. Our research efforts in advanced materials integrate novel synthesis and characterization techniques with state-of-the-art multi-scale modelling and scientific computing methods
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental