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also opens new avenues for the design of climate-resilient crops. You will apply AI strategies to learn the regulatory syntax encoded by the Arabidopsis genome using single-cell transcript data as
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of synthetic promoters in planta. You will unravel the cis-regulatory code controlling context-dependent gene expression and use this information to edit natural promoters. You will work very closely together
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their impact on bladder function under physiological and pathological conditions. Work will include data acquisition, analysis, and interpretation, as well as collaboration with clinicians for human
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a postdoc, your career aspirations, your experiences in phytoplankton genetics, and a description of your previous research Your CV Contact information of at least 2 references Please submit
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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to develop new carbon capture technologies. We are seeking a motivated postdoc to identify biochemical activities in phytoplankton that convert intracellular metabolites into stable, degradation-resistant
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the following documents: A motivation letter describing your previous research experience Your CV Contact information of at least 2 references For further information and questions, please email Joris de Wit
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology
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Polleux, Nat. Rev. Neurosci. 2023). You will explore single-cell epigenomics and transcriptomics data, focused on the neurons of the cerebral cortex from human and an array of non-human species. Using
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interested in pushing the boundaries of this emerging research field by zooming in on protein modifications as well. Background information The stomatal lineage represents an ideal model system due