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: Intermediate Storage and Distribution for Maritime and Land Transport”, funded by Energimyndigheten. The project addresses key challenges in enabling large-scale compressed gaseous hydrogen infrastructure in
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, and production systems. Project Description This PhD position is part of the research project “Compressed Hydrogen in Marine Propulsion Systems: Temperature Evolution and Structural Integrity of Onboard
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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work with and develop custom made techniques coupled to high resolving mass
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picture of reaction intermediates in photocatalysis. You will be involved in all steps of the project, i.e. to design and program the software, to perform computational and real-world experiments