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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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their application has been selected for assessment. The shortlisted applicants will be informed about the composition of the assessment committee, and each applicant will be given the opportunity to comment
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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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, to maintain a specific lipid and protein composition in cilia. Cilia are evolutionary conserved organelles that protrude from the surface of eukaryotic cells to facilitate motility and sensory perception. Cilia
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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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small-scale processing sector. By joining this project, you will contribute to the development of AI-powered tools that predict non-compliance, improve food safety monitoring, and ultimately protect
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experience should cover basic chemistry analytical skills to large scale pilot experience, hands-on, and data analysis. This includes experience on corrosion, kinetics, emission impurities, and solvent
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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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molecular structure, to maintain a specific lipid and protein composition in cilia. Cilia are evolutionary conserved organelles that protrude from the surface of eukaryotic cells to facilitate motility and