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MEuro) with nearly 40 industrial and academic partners. The work constitutes an integral part of research activities within several projects on flight electrification at FEC. Modelling and simulation
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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genetic analyses and generalised linear mixed-effects models, and ideally also in the use of some mathematical models (e.g. Integral Projection Models) Experience in data processing, statistical analysis
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industrial and academic partners. The work constitutes an integral part of research activities within several projects on flight electrification at FEC. Modelling and simulation of hybrid-electric aero-engine
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. The work involves areas such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research is carried out in
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are being strengthened. Subject and project description This project is focused on the development of high-fidelity reacting flow models to investigate thermal runaway in battery cells, pack, modules, and
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insights into the various theoretical models and analytical methods used across these research areas, as well as the ability to work with the databases under development. The aim of the center is to
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the interdisciplinary development of the field. A central goal for the center is to train a new generation of students and doctoral candidates with skills and insights into the various theoretical models and analytical
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focus on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid
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. Teaching skills. Additional assessment criteria: Experience with research on stress signalling, metabolomics and phosphorylation cascades Experience with model crops, but also agriculturally relevant plant