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advanced data science, using state-of-the-art human stem cell models to uncover previously unrecognized environmental risk factors for Parkinson’s Disease. You will, in close collaboration with a PhD student
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application of dynamic mathematical modelling approaches to simulate the spread of infectious agents in human populations. The Unit coordinates the Interdisciplinary Center of Mathematical Modelling
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, immunology, and biotechnology. The project integrates expertise in liver biology, disease modelling, quantitative omics, and advanced experimental platforms, including automated organoid culture systems, AI
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-generation AI models of gene regulation and disease progression. Our work is redefining Parkinson’s disease biology and enabling translational breakthroughs. The role Develop deep learning models across genome
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underlying disease progression – and to translate these insights into therapeutic strategies. Our lab combines cutting-edge in vivo imaging, electrophysiology in mouse models and computational modeling with
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and sequence-based mechanisms of gene regulation. Current projects focus on deciphering the regulatory landscape of the human genome by integrating AI-driven enhancer modeling with GWAS data and
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junior lab members, contribute to scientific writing, and collaborate effectively within a multidisciplinary team is equally important. You are likely to have a PhD in brain or gut organoid models with
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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
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genes in plants, and modeling the evolution of transcriptional systems in silico . We are currently looking for a talented postdoc to join our team in the context of a project funded by the Research
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, to develop and interrogate biological design principles across eukaryotic systems. A central goal is to use yeast as a genetically tractable model system, followed by work in mammalian models, to establish