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limited understanding of how tumors systemically impair immune responses. Meanwhile, traditional animal models often fail to capture the complexity of human immune-cancer interactions. This position
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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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learning models, and systems biology to elucidate the mechanisms of drug interactions in complex biological systems, with a particular focus on infectious disease and cancer. Candidates with experience in
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.2024.08.007 . Position Responsibilities: Option 1: Structural Biology Express and purify immune signaling proteins and complexes using bacterial, insect, and mammalian systems. Prepare samples for structural
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for a Post-Doctoral Fellow to study stem cell biology in colitis and lymphoblastic leukemia using state-of-the-art techniques such as 3D platform and respective animal models; and dissecting the molecular
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) analysis Mathematical modelling Microbiology Molecular biology We approach science with the view of physics, aiming to identify principles behind complex systems. We collaborate closely with engineers
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, to support the development of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to contribute to the development, optimisation and implementation
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A postdoctoral position is available for highly motivated individuals with a background in Computational Neuroscience to analyze complex time-series data from ongoing 2-photon microscopy experiments
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, longitudinal pattern mining, and explainable artificial intelligence for complex system analysis and understanding tightly collaborating with biologists and domain experts for iteratively refining models
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational