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The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura Cantini, works at
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technological platform that enables rapid vaccination against emerging pathogens. Despite the major successes seen in SARS-CoV-2 vaccination, current mRNA vaccines elicit CD8+ T cell responses that are less
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Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum
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motivated candidate with: a PhD in immunology, with expertise in T cell/B cell interactions and/or vaccinology an expertise in advanced flow cytometry a strong motivation to learn organ-on-chip technologies a
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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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research experience like engineering/biotech schools e.g.. Experience with recombinant antibodies or mRNA-LNP technologies. A former working experience and training in animal experimentation (mandatory). A
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, providing cutting edge technologies. The Biology of Spirochetes unit also hosts the French National Reference Center for Leptospirosis and a WHO Collaborating Center for Reference and Research
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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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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Islands. NPJ Genomics Medicine. 2019 Jan 21;4:1. de Chaumont F. et al. Live Mouse Tracker : real-time behavior analysis of groups of mice. Nature Biomedical Engineering 2019 3(11):930-942. Huguet G. et al