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requires a simulator that captures malaria-specific recombination and transmission processes, generating realistic synthetic datasets while retaining sufficient computational eXiciency for large-scale
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-career scientist to develop cutting-edge machine learning approaches for understanding and designing pathogen antigens. This is a unique opportunity to help shape a new research program at the intersection
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/department/immunology/ ). Background : We are seeking a highly motivated researcher to join our laboratory to work on mRNA-Lipid nanoparticle (LNP) vaccines. These vaccines offer a unique and versatile
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testing systems that can be rapidly deployed in a preparedness context. mRNA encapsulated in lipid nanoparticles (mRNA-LNPs) has emerged as the leading vaccine platform technology for pandemic response
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Garcia Verdugo at Institut Cochin. Project mRNA-Lipid nanoparticles (LNPs) vaccines offer a unique and versatile technological platform enabling vaccination against emerging pathogens. Despite major
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This M2 or equivalent internship is part of a French National Research Agency (ANR) funded project, UniGEM (Unified inference for Genomic Epidemiology of Malaria). Using simulation-based inference
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immunotherapy interventions targeting CD4+ T cells based on recombinant monoclonal antibodies or mRNA-containing lipid nanoparticles. The project will be primarily developed in a pre-clinical murine model of lung
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offers a unique opportunity to work at the intersection of computational physics, neuroscience, and biomechanics, developing physics-based simulations that bridge neural circuits, muscle activity, and
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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[email protected] in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in