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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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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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postdoctoral researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational
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tissue studies. Essential You have an international PhD in physiology, neuroscience, biomedical sciences, or related fields. You are an expert in molecular biology and/or electrophysiology. You are eager
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for the design of synthetic promoters and data analysis. PhD in (Plant) Biotechnology, Molecular Biology, Biochemistry or equivalent A publication record in peer-reviewed journals, and excellent proficiency in
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driving context-specific expression. You will work very closely together with your wet-lab colleagues for the design and follow-up of experimental validations. PhD (or MSc with research experience) in AI
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single-cell mass spectrometry-based proteomics. First under control conditions to establish the methodology and, secondly, under abiotic stress conditions. Profile Essential You have an international PhD
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strong interest in developmental, cellular or molecular neurobiology, in link with human brain evolution and diseases. PhD in neuroscience, genetics, evolutionary biology or related field. Experience in
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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