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AI models. Identifying relevant modalities to enhance prediction performance, with a focus on multi-spectral sensors, will be a key research area. Additionally, anomaly detection for modalities other
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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, multi-scale modelling of the HT-PEMFC cells and stacks. The project emphasizes performance, flexibility, and durability under harsh operating conditions, ensuring its reliability for providing electrical
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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and enjoys working with complex, multi-disciplinary topics. In summary, the main tasks of the PhD position are: To perform research in power systems balancing with a focus on European power and energy
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equivalent to a two-year master's degree Extensive and demonstrable experience (through publications or thesis work) with multi-parametric flow cytometry Experience with isolation and culture of human
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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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meteorological phenomena across difference scales, that impact wind energy, and vice versa. Our research is needed in the process of planning, designing, and operating wind energy installations. This can be at
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thereafter. The project The PhD project is mainly based on data from the Generation Healthy Kids project, a large-scale 2-year school- and community-based multi-component, multi-setting intervention among