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scientist to study the human-specific genetic mechanisms of development and function of cortical neurons. Join us to undertake a highly interdisciplinary project focusing on a long-standing and fascinating
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Job description We are seeking two highly motivated postdoctoral researchers to join our research team based in the Van de Peer lab, under the supervision of Prof. Dr. Zhen Li, Assistant Professor
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. Description The Klingler lab is seeking an enthusiastic, critical, and creative international postdoctoral fellow to investigate the developmental dynamics of BLA-PFC connectivity and associated function in
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, including animal studies and analyses of human tissue samples. This full-stack methodology enables us to directly link molecular channel function with disease phenotypes. The postdoctoral fellow will work
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of the TOBI team is to enhance precision cancer management by developing innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof. Katleen De Preter is the principal
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force of cancer progression. Our work is published in high profile journals such as Nature, Nature Cancer, Cell Reports, and Molecular Cell. We have a strong international recognition and top
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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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model/crop species with different levels of genome complexity. You will work very closely together with your dry-lab colleagues for data processing, training models, and the design of synthetic promoters
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functional screens and read out mutation identities via barcode sequencing. By providing a direct link between sequence and function MAGESTIC enables massively scaled screens of precise mutations, with
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. Applicants should demonstrate expertise in programming languages such as Python and/or R, as well as experience working with high-performance computing clusters. The successful candidate will be a team player