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the tomato response to Zn and Fe deficiency and design strategies to improve the Zn/Fe nutritional status of tomatoes for human health. You will generate dedicated (single-cell) transcriptional data sets
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for strain improvement. The project will combine cell biology, genome editing and quantitative physiological studies in laboratory bioreactors. The position offers a unique opportunity to work at the interface
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on these results, the researcher will translate the reaction to continuous-flow electrochemical cells, investigating selectivity, reaction rates, mass transport and process stability. The research team You will
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: Develop AI-assisted experimental workflows for oxide semiconductor deposition, aiming to accelerate process optimization and unravel new process–property relationships, and contributing to an EU Horizon
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status of tomatoes for human health. You will generate dedicated (single-cell) transcriptional data sets feeding into the MNase-defined cistrome occupancy (MOA-seq) analysis of transcription factor binding
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We invite highly motivated, independent postdoc candidates with a proven interest and experience in molecular immunology, NK cell biology, and/or human genetics to apply. We positively value
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AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic
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hydrogen and sustainable fuel production through advanced simulation models and sector-coupling applications. Your main objective will be to develop a coupled dynamic model of an alkaline water electrolyzer
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-quality cryo-ET data. The candidate will apply these workflows to challenging questions in the structural cell biology of the assembly of a unique machinery involed in bacterial motility and cell-autonomous
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-infected B cells in MS. Almost everyone with MS carries EBV, and EBV-infected B cells help drive disease. ERAP2 shapes how these B cells present viral peptides to NK cells and CD8+ T cells. You will build