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, phase retrieval in this regime remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance
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to demonstrate the feasibility of energy efficient oxyfuel combustion of biomass enabled by oxygen separation membranes. The objectives are to (1) develop high-performance, stable mixed oxide ion
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the research project “Aerosol-radiative forcing associated with fire-driven dust emissions in a changing environment”, funded by the German Research Foundation (DFG), a PhD position is available for 3 years. It
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. While classical boundary-layer theory assumes the non-slip condition at the surface, this project asks:how is drag modified when a slip velocity is introduced at the surface? You will use High-Performance
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high pressures. The processes are energy-intensive, lead to rapid catalyst deactivation, and result in high CO₂ emissions. This project aims to address these challenges by developing electrified non
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for: Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data Development of AI-based models for personalized risk assessment Validation and application of model performance using established
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dynamic Electrochemical Impedance Spectroscopy (EIS), combining advanced measurement technology with modelling and data-driven analysis. A key component is a novel measurement approach that enables high
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or Injectpower commercializing micro solid state batteries for medical implants. Poor cycling performance of Li metal battery is due to uncontrolled Li microstructure. Fast degradation during cycling is due
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approach. WP1 dealing with the elaboration, characterization and optimization of Cu/CeO2-TiO2 photocatalytic systems, will be mainly performed at IS2M (Mulhouse) and WP2 focused on the evaluation of gas
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applications Improving model architectures, prompting strategies, and retrieval systems for high-stakes environments Conducting pilot evaluations with judicial partners to study how AI tools perform in real