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, preferably in Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as
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intervention trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic
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to decipher the regulatory code controlling gene expression in plants through the engineering and large-scale validation of synthetic promoters. Within the ERC-funded multiCODE project, we aim
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, industrial and medical applications and new innovative biotech companies. The Laboratory for Genome Editing and System Genetics at CfM combines development of high-throughput genome editing tools with large
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medical development are welcome and we might actually recruit two persons with complementary expertise. Additional information may be found in the following selected references: De Strooper, B. & Karran, E
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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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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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detailed CV, including a list of publications, a motivation letter, and the contact information of three referees. For more information, please contact Pierre Vanderhaeghen (pierre.vanderhaeghen@kuleuven.be ).
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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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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