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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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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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-peptide complex from other cells (cross-dressing). DC participate to the innate sensing of vaccinal mRNA, but these responses need to be adjusted to optimize the induction of T and B cell memory
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on vaccine responses will be assessed using the optimal mRNA-LNP formulation defined in Aim 1, with readouts focusing on specific B cell responses and antibody maturation. This project should provide a robust
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biological systems such as ecological and neural dynamics. The project is particularly suited to a student with a strong background in physics, applied mathematics or theoretical/computational biology who is
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UniGEM). Within UniGEM, this internship aims to engineer the features input into the neural network and to compute their values using real malaria parasite data. These values will be used in a subsequent
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Research Engineer/Postdoctoral Position Decision and Bayesian Computation (DBC) – Epiméthée (EPI) Laboratory Institut Pasteur, Paris | 25 rue du Docteur Roux, 75015 Paris Position Overview We
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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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physiological function of cellular senescence, and how does it transition from a regenerative program to a driver of pathology? We investigate how senescent cells control tissue plasticity and microenvironmental
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must have a PhD in computer science, machine learning, or computational biology The position is initially for 12 months with the possibility of extension. Application : send CV, motivation letter, and