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on developing and implementing large-scale genome editing tools in plants. We use a variety of systems, from standard knockout, to base editing, prime editing and combinatorial CRISPR screens. Job description We
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Alzheimer’s disease to develop and/or apply computational approaches to large scale genomic or transcriptomic datasets for identification of targets for early detection, prevention or treatment of Alzheimer’s
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work includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: A PhD in structural biology, cell biology, biophysics, bioengineering, or a related
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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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Profile Essential PhD in Molecular Biology, Biotechnology, Plant Biology Fluent in English, for both written and oral communication Enthusiastic team player Openness to collaborate with industry Passion
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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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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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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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to integrate immunology, stem cell technology, and Parkinson’s biology. Supervise junior colleagues, contribute to grant writing, and disseminate findings through high-impact publications. Requirements PhD in
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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