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collaboration with the team. Your profile PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline Knowledge of UHV and thin-film technology Prior experience in PVD and
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profile PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline Knowledge of UHV and thin-film technology Prior experience in PVD and surface science Prior
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datasets with multi-omics profiles of tumors from previous studies Developing new machine learning models through collaboration with the Swiss Data Science Centre Establishing data analysis pipelines
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of catalysts, electrodes, and ionomer membranes with high time resolution, operando x-ray measurements. Develop electrode architecture and catalyst/electrode modification strategies for enhanced durability