17 parallel-computing-numerical-methods-"Simons-Foundation" positions at Institut Pasteur
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environmental physics affects larval actions Develop robust APIs for community access Required Qualifications Essential: Strong background in finite element methods and numerical simulation Proficiency in Python
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. We will use those nanobodies to identify stable partners of a5 receptors and in parallel we will develop proximity labeling approaches to capture transient partners. Comparison of WT and mutant cells
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Shareloc and ImJoy (Ouyang et al., Nat. Methods 2022; Ouyang et al., Nat. Methods 2019), offers an ideal environment for creating tools that unite cutting-edge computation and biology. As part of the ERC
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on large-scale genetic and environmental data to identify relevant exposures and gene-environment interactions. Method Development: Develop novel statistical and computational methodologies to address
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, including Titan Krios and Glacios microscopes, a fully equipped crystallography platform, advanced computing clusters, proteomics and BSL-2/3 imaging facilities. The institute provides numerous training
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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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, Applied Mathematics, or a related field. Strong foundation in computational modelling & numerical simulations The laboratory The Decision and Bayesian Computation (DBC) – Epiméthée (EPI) laboratory
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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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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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significant computational component. We strongly recommend a background in machine learning and coding. Applicants with a background in areas such as computational neuroscience, reinforcement learning, or deep