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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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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
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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
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on animal experimentation. Dynamism, self-organization, autonomy and drive. Interest for computing biology (R programming, image analysis) will be an additional asset. Contact & applications: Applications