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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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modification. By marrying first-principles theory – trade-off analysis, game theory, reaction-diffusion, and consumer-resources models – with single-cell tracking and synthetic community experiments
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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
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for pediatric diseases. Project Description: Our research focuses on how genetic variants contribute to diseases during early development and on developing mechanism-driven therapeutics. While animal models have
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(TBI). The research will use in vitro and in vivo mouse models. Qualifications: 1). Recent PhD or equivalent degree in neuroscience, molecular biology, physiology, or cerebral vascular biology. 2
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-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility, Big Data Core and High Throughput Screening Facility. Our research is embedded
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Registry (SCNIR), enabling clinically driven translational research. We employ state-of-the-art experimental models to study the pathomechanism of severe congenital neutropenia and Shwachman-Diamond Syndrome
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experimental systems, ranging from molecular screening tools, state-of-the-art methods for molecular/cellular characterization, animal models, and primary human cell/organoid models. We offer a unique
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from correcting disease-causing mutations, the potential of introducing protective mutations will be explored. These strategies will be evaluated on cellular and mouse disease models, in order to
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on the disease mechanisms underlying inherited retinal degeneration and hearing loss, the cell biology of photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in