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for an engineer with strong expertise in bioinformatics and single-cell and/or spatial multiomics analysis (ex. scRNAseq/ scATACseq/ scNMTseq/ spatial transcriptomics). The ideal candidate will be able to develop
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Job description We seek a post-doc or bioinformatician with experience in microbial population genomics to develop and benchmark novel strain subtyping schemes and nomenclature systems for genomic
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system (https://research.pasteur.fr/en/team/cell-death-and-epithelial-homeostasis/). We use a wide range of live imaging technics and develop new tools (including live sensors and optogenetics) to dissect
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these behaviours or to challenges in detecting them. We aim to develop a Bayesian Program Synthesis8 (BPS) methodology for producing synthetic data that mirrors key characteristics found in experimental recordings
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distribution of microcircuits affect the mesoscopic, or modular, structure of a network [8]. Generative modeling of biologically-plausible brain networks from learnt latent embeddings. This axis aims to develop
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particles driven by Brownian noise at different temperatures, the intern will develop a spectral Bayesian2–4 approach to reliably detect out-of-equilibrium dynamics from the trajectory of a single particle5