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                datasets for single nucleotide variants, structural variants, and tandem repeats relevant to FTLD Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate 
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                neuron electrophysiology as well as complex network dynamics in the context of specific perturbations. You will use these data to map the disease in terms of electrophysiological dynamics and stratify 
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                Primate Cross-Reactive Anti-Transferrin Receptor Nanobodies for Brain Delivery of Biologics. Pharmaceutics 15 (2023). Profile Required: The successful candidate: Should hold a PhD degree in neuroscience 
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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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                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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                method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during 
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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