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or applied) genomics, molecular biology, (epi)genetics, systems biology or related disciplines. Demonstrated wet lab experience; preferably in (single-cell)-omic techniques, for example sn-Multiomics, ATAC-seq
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data. Change: The CROPWAVES project will exploit satellite-based products for soil moisture and vegetation using data assimilation to improve global-scale crop and climate models at different resolutions
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will elucidate how silicon disrupts copper wetting and diffusion. A central aspect of this project is the development of a Density Functional Theory (DFT)-accurate machine-learned interatomic potential
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of LCI in steel grain boundaries and the inhibitory role of silicon. Your MD-based approach will elucidate how silicon disrupts copper wetting and diffusion. A central aspect of this project is the
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. Priorities include novel high-resolution products (precipitation, evaporation, soil moisture), high-resolution hydrological modelling, human impacts in the water cycle, ground water storage, global water cycle