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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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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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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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independent research drive. Experience in working with mouse models (FELASA B or C required) Experience with advanced imaging/omics and CRISPR/Cas9 technology is a plus. Team-oriented, innovative, and motivated
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the field of neurogenetics. Willingness to apply for an FWO Post-doc and/or Marie Sklodowska-Curie Post-doc fellowship, if eligible. What We Offer A full-time position initially for 2 years
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interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
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spin-offs and start-ups, creating a natural home for researchers and their families. English is very widely spoken in the city and surrounding area. We are looking for a postdoctoral computational
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, biology, chemistry, engineering or a related field Should be creative, enthusiastic, critically thinking, and motivated Ready to work against stringent deadlines Enjoys teamwork and has excellent oral and
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investigating sensory signaling in the bladder wall and its role in lower urinary tract disorders (LUTd). The project involves advanced techniques such as ex vivo calcium imaging of mouse and human urothelium, X
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brain xenotransplantation, mouse transgenesis, in vivo mouse brain imaging, and ex vivo human brain recordings. See more in selected references from the lab: Libé-Philippot et at al. Cell (2023) 186(26