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. Establish robust, high-resolution electron microscopy protocols to identify and quantify interfacial structural phenomena. Correlate interfacial structure with adsorption performance, contributing to a
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and components with high surface quality requirements. Despite the trends towards increasing automation and higher productivity, the polishing of complex geometries is still normally performed manually
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, who’s focus is high-resolution profiling of respiratory mucosal immunity in vaccine responses using transcriptional and spatial platforms (VAXXAIR). The VAXXAIR initiative (funded by Novo Nordisk
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actively facilitate the success of the energy transition. This project will be in close collaboration with RWTH Aachen. Due to high degree of interdisciplinarity, the PhD student is expected to work closely
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industry. We expect you to be able to handle and have an interest in experimental laboratory and formulation work. Experience with coatings may be an advantage. You are high performing, visionary and thrive
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to enhance efficiency, power density, and performance in applications such as high-performance computing (HPC) systems and artificial intelligence (AI) accelerators. Responsibilities and qualifications As a
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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hydrogen. Focus areas include reactor design, heat integration, and energy efficiency. Electricity Market and Sector Coupling: Implement market-based operation strategies for PtX systems by incorporating
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protected glycosyl donors allowing reactions to be performed in highly polar solvents. New protective groups and leaving groups will be developed to advance glycosylation chemistry in water. Who are we