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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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chemical spaces, including natural products and drug combinations, and boost antibiotic drug discovery. AI4AMR is a French-German collaboration between the teams of Ivo G Boneca (microbiology, Institut
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic
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the host response. The two main tasks of this position are: Performing bioinformatics and statistical analyses of quantitative data from high-throughput sequencing (transcriptomics, proteomics) and clinical
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, which primarily specialize in either force generation or endurance, craniofacial muscles perform highly intricate tasks essential for eye movements, feeding, and speech. In this project, we will employ
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The Bioinformatics and Biostatistics Hub at Institut Pasteur provides computational biology support to research units and platforms at the Institut Pasteur. Our mission is to: Collaborate
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to be able to stimulate simultaneously (but independently) single hair cells with millisecond precision. Concurrently, we will perform recordings from large populations of neurons at different stages
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spatial transcriptomics of the tumor microenvironment (VISIUM HD, Merscope, e.g.), – to explore new avenues to integrate high dimensional imaging datasets with spatial transcriptomics approaches. Mission
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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, biosynthesis and immune response. Key Responsibilities: • Conduct high-quality research on cell wall analysis of Candida species. • Using confocal microscopy imaging, flow cytometry and biochemistry and genomic