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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational
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central goal is to understand how these effects are shaped by human-specific SRGAP2 genes, which regulate synaptic timing via SYNGAP1. To achieve this, we will use: Xenotransplantation models of human
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early developmental success. You will establish an integrated workflow that combines cryo-electron tomography (cryo-ET), sub-tomogram averaging and expansion microscopy to map/model key sperm structures
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-of-the-art in vivo perturbational technologies and advanced computational modelling to solve fascinating biomedical puzzles. This interdisciplinary atmosphere has been a main catalyst for many past successes
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neuroinflammation. The PhD student will focus on characterizing immune cell responses in food allergy models and their impact on brain immunity. In close collaboration with experts in food allergy, neuroimmunology
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expertise to dig deep into computational modelling, while working closely together with the experimental side of the lab. This interdisciplinary atmosphere has been a main catalyst for many past successes
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tool. Make sure your application includes: A detailed CV A one-page summary of past research activities A one-page motivation letter, describing how your expertise and ambitions match the research theme
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or altered behavioral responses in ASD models How these changes reflect underlying shifts in cortical circuit function You will work within the Bonin and Farrow Labs, which brings deep expertise in