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firn- and hydrology modelling. Your work will contribute observations that are essential for evaluating firn- and hydrological models and for understanding ice-sheet-wide change. Your results will be
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
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needed to develop pipelines, apply machine-learning methods and analyze high-throughput sequencing data Substantial postdoctoral experience and an established publication record in AMR, microbial genomics
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