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simulate a refined batch of synthetic data. For each batch, the postdoc will estimate Bayes optimal error, an important guide for realistic goals for deep learning. The first batch of synthetic data will be
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Psychiatry 2015; 78: 126–34. –Moreau C.A. et al. Atlas of functional connectivity relationships across rare and common genetic variants, traits, and psychiatric conditions. 2021: http://medrxiv.org/lookup
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and spatial transcriptomics and epigenomics. More details: https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ Candidate profiles We are seeking highly motivated
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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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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in the newly formed unit Physics of Biological Function of biophysicist Thomas Gregor. We are interested in...
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Our laboratory has one position available for postdoctoral fellow in the area of Cancer Biology and Microenvironment. We are interested in mechanisms of tumor initiation and resistance, with an emphasis on tissue long lived cells such as stromal cells, and their crosstalk with tumor cells,...
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Title of the project: Genetics of brain diversity in autism The laboratory: Human Genetics and Cognitive Functions Unit (Dir. Thomas Bourgeron) Duration of the contract: 2 years The aim of the laboratory Our laboratory is part of the Neuroscience Department of the Institut Pasteur and gathers...
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of peptidoglycan, mass spectrometry, cellular and animal models, and in confocal/immunofluorescent microscopy. The postdoc will study the model organism Helicobacter pylori and its mechanisms of release of immune
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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