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, considering the complex morphological and biological evolutive patterns of tumor lesions after immunotherapy initiation. To this end, researchers are focusing on the development of new data-driven approaches
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, we take a systemic approach and study the interconnectedness of human activities and the environment. Our mission is to develop sustainable, socially just, and environmentally friendly solutions by
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on scientific projects submitted by research teams of our institute. Train scientific staff from Institut Pasteur Paris and the international network of Institut Pasteur. Develop tools and applications to be
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techniques have been developed to overcome this drawback. Among them we focus on fluctuation of fluorescent molecules methods as they don’t need any specific materiel or fluorophore. The super-resolved image
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have a PhD in computer science, mathematics, physics, or related fields, with a passion for programming. A desire to contribute to the development of open-source software within the context of the agreed
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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developed by our team [1,2] are able to: 1) identify exploitable vulnerabilities at the software level based on these interactions between a software and a microarchitecture, or 2) formally prove the security
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avenues to increase the function of relevant DCs subsets to increase the formation of tissue, resident, long lasting memory T cell responses. This project will be developed in the context of an influenza
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of persistent AF. However, this therapy depends heavily on the practitioner’s subjectivity, with rather variable protocols and success rates reported by different centers. The development of robust, widely
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procedure. In this context, the proposed PhD project aims to develop an innovative strategy to evaluate the efficiency and quality of surgical care. This strategy is based on data science, combining