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in January 2025. The overarching goal is to identify the key factors controlling microbe-mediated carbon storage in the ocean, with a focus on using model microbial systems in the lab. We specialize in
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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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. Their findings aim to unlock plant specialized metabolism for numerous human applications given these serve as a novel resource for engineering tools that will facilitate 1) the creation of (plant-based) synthetic
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, CRISPR/Cas9 gene editing, viral vectors, conditional knockout mice, optogenetics, and in vivo imaging. The successful candidate will be based in Leuven, Belgium. The two labs will interact regularly via
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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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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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-katleen-de-preter-phd ). In 2022, an ERC consolidator grant was awarded to her to support the advancement of minimally-invasive assay for epigenetic tumor plasticity monitoring. The TOBI-lab is part of
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successful, and feels valued. In addition, you will have the opportunity to experience and influence a fresh lab atmosphere. Your Profile The successful candidate: holds a PhD in neuroscience. has a at least
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, collaborating closely with other bioinformaticians, as well as cancer cell and molecular biologists, clinicians and pathologists. Profile Essential Requirements PhD in Bioinformatics, Computational Biology
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microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology, human microbiota, microbiology or other relevant areas