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postdoctoral experience(s), including at least one abroad, demonstrated through multiple publications showing ability to autonomously develop research themes • Solid experience with host-pathogen interaction
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on baseline patients’ profile. Finally, we aim at enriching spatio-temporal treatment response models accounting for multiple imaging modalities (PET – CT) along with clinical and biological informations
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for multiple imaging modalities (PET – CT) along with clinical and biological informations. Typical data-driven approaches are characterized by lack of interpretability and scalability problems, due
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national Luxembourg AI Strategy featuring a healthcare flagship A transnational network of competence that includes multiple Max-Planck and Helmholtz institutes in Saarbrücken The opportunity to impact
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-European collaboration. Main Responsibilities · Coordinate and streamline operational processes across the 15 CitCom.ai TEF sites. · Support the TEF management at the consortium level and TEF
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to train a local model autonomously. The dissatisfied client may then abandon the training procedure (or refuse to join it in the future), impoverishing the aggregate pool of data and then the quality
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degree in computer science and: You have a good knowledge of C++ You have skills in software engineering. You are familiar with common development environments and associated tools Knowledge of parallel
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The Bioinformatics and Biostatistics Hub at Institut Pasteur provides computational biology support to research units and platforms at the Institut Pasteur. Our mission is to: Collaborate
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for process-local loose coupling in high-performance simulation codes. PDI supports the modularization of codes by inter-mediating data exchange between the main simulation code and independent modules (plugins
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) are the sentinel of the immune system. DCs are developmentally and functionally heterogeneous and encompass multiple subsets including XCR1+ IRF8+ DCs, and a variety of IRF4+ DCs (DC2As, DC2Bs, DC3s) and