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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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addition, this role also offers the opportunity to develop independent research projects aligned with the group’s overarching goals. You are expected to learn and implement innovative techniques, participate
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to advancing our understanding of the basic mechanisms of aging to develop novel strategies that improve healthspan and lifespan, as well as better treat cancer and other aging-related diseases. About IRCAN
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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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health services research; Support data collection, cleaning, management and descriptive analysis; Participate in the development of infographics; Contribute to the drafting of a scientific paper based on
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the European Testing and Experimentation Facility (TEF) for AI and Robotics in Smart Cities and Communities. With 15 test sites across the EU, it supports companies and public actors in developing
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) — to join our team. You will be directly involved in developing and optimizing ion beam processes to improve device performance in MRAM and magnetic sensor applications. Beyond R&D, we are looking for a
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revisit discretization methodologies in view of modern requirements and computational capabilities. The candidate will focus on developing mesh generation algorithms meeting the following criteria
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and interpretation. Prominent examples include time sequences on groups and manifolds, time sequences of graphs, and graph signals. The objectives The project aims to develop unsupervised online CPD
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motivated the development of Federated Learning (FL) [1,2], a framework for on-device collaborative training of machine learning models. FL algorithms like FedAvg [3] allow clients to train a common global