11 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions at Nature Careers in Belgium
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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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 data
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are seeking a motivated and enthusiastic colleague with strong computational skills in the analyses of complex data sets to join our teams. About the project We have generated advanced brain on chip models
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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question: « what makes our brain human ? » (Vanderhaeghen and Polleux, Nat. Rev. Neurosci. 2023). We combine cutting-edge approaches such as pluripotent stem cell models of human corticogenesis, human-mouse
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About the lab involved The Laboratory of Ion Channel Research (https://voetslab.sites.vib.be/en ), led by Prof. Thomas Voets at the VIB–KU Leuven Center for Brain & Disease Research, is a dynamic
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join a collegial research group comprising several PhD candidates and one postdoctoral researcher, all working on topics related to IP law. The faculty is a vibrant European IP hub with a strong research
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features. Developing innovative research concepts and contributing to the scientific direction of the group. Mentoring of PhD students and supporting their academic development. Participating in educational
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the PhD diploma or a letter indicating the expected defense date A detailed curriculum vitae with a complete bibliography of published works Copy of 3 publications The name, current position and
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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