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ERC-funded postdoc position in molecular genetics: Unravelling the eukaryotic post-transcriptional regulatory code Job description Are you interested in unraveling a central, yet understudied
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, Statistics, Computer Science, Genetics, or equivalent. Proficiency in Python and/or R, with a solid grasp of statistics. Excellent organizational and time management skills, with a flexible mindset for
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research to the role of intratumor microbiome in cancer metabolism and cancer progression. We exploit mouse models, genetic engineering, metabolomics and single-cell & spatial multi-omics analysis to gain
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excellent facilities and leading research groups in e.g. gastroenterology, oncology, immunology, microbiology & virology, clinical genetics/-omics, molecular biology and translational research. The Raes lab
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analyses and modelling), and plant genetics (functional characterization of key regulators). Overall, the project will contribute to our understanding of how an environmental signal (temperature) is
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employs multi-disciplinary approaches, including Drosophila genetics, quantitative behavior analysis, electrophysiology, in vivo functional imaging, and neural circuit mapping and manipulation, to study the