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focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs, and complete battery systems. Thermal runaway is a chain
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change affects all stages of life. The central question of this postdoc project is: How and why does thermal sensitivity vary across the life cycle, and what are the consequences for animal populations
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through publications. Experience of analytical methods such as elemental analysis, spectroscopy (e.g. FTIR), chromatography or thermal analysis (e.g. DSC or calorimetry). Very good command of English
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district energy systems, both commercial and open-source; Optimization of building energy consumption, both electrical and thermal; Modelling, optimization and/or control of either buildings or energy
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of or openness to interdisciplinarity as well as a propositional attitude. Assessment criteria For this position, special consideration will be given to: Good knowledge in thermal conversion of biomass, such as
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analyzing large-scale UAV-based image datasets, including hyperspectral, multispectral, thermal, and RGB imagery. Develop field digital twins by integrating crop growth models, remote sensing data, genomic
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mechanical strength, and enhancing the overall cycling performance of batteries. Solid-state electrolytes are being explored as safer alternatives to liquid electrolytes because they offer higher thermal