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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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-doctoral scientist with strong experience in either molecular and evolutionary biology, mutational analysis, or reverse genetics, and work in BSL-3 environment. Knowledge of next generation sequencing
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and have a solid background in prokaryotic cell biology, including molecular biology, microbial genetics, or microscopy. Previous work on Archaea is not mandatory and we welcome applicants with
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. With your expertise in cell biology (cell culture of human primary cells), you will characterize the mechanisms of host-adaptation of pathogenic Leptospira. Qualification: An expertise in molecular
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. Qualification: An expertise in molecular biology, bioinformatics, imaging and/or infectious models will be appreciated. Starting Date & Duration: This position is opened starting mid 2024 for a total of 3 years
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, computational biology, and molecular evolution. The researcher will work within a multidisciplinary international team (both computational and experimental biologists), that focuses on understanding the future
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5 Apr 2024 Job Information Organisation/Company Institut Pasteur Department Immunology Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Country France
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experimental and bioinformatic studies to characterize the ecology and the evolution of antibiotic resistance from modelling dissemination to the characterization of the underlying molecular mechanisms. It
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, combining lineage tracing and depletion models, flow cytometry, confocal microscopy and unbiased approaches such as single cells transcriptomics and epigenetics to characterize molecular and cellular
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infectious material. Qualifications Applicants must hold (or be about to obtain) a PhD in a relevant field such as virology. Prior wet-lab experience is required. Experience in molecular epidemiology and