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-chip (OoC) technology offer precise control over critical parameters such as fluid dynamics and mechanical stimuli that closely mimic in vivo conditions. This project aims to develop a vascularized liver
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l'analyse des études d'association Génome-Environnement (GEA) et de Décalage Génomique (Genomic Offset, GO) en s'appuyant sur les développements récents en optimisation et en inférence statistique. Plus
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-world error patterns: we therefore aim to go beyond the traditional depolarizing error model generally accepted in the quantum coding community. One therefore wishes to adapt existing decoding algorithms
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robots can pass through orifices smaller than their outer diameters, and don't get stuck in sticky environments. This inherently soft robot has hence been proposed for medical applications such as
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such as ChIP-Seq, ATAC-Seq, RNA-Seq, Cut&Tag or Cut&Run; Background in proteomics is desirable; Experience in bioinformatics and analysis of NGS or single-cell data; Animal experimentation license is
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players in the industry like Qualcomm [2], Intel [3] and Google [4], Meta [5] have already proposed CMOS chips for the implementation of AI. However, these dedicated integrated circuits are currently
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-based methods, to estimate the Hessian of a proxy function (smoothed version of the network) in a single forward pass, as suggested by @balasubramanian2022zeroth. - Combining these approaches with
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proteins (RIME) in a context where PRDM9 is present or absent, and the genomic localization of its known co-factor REC114 will be studied by ChIP followed by NGS sequencing. For a better mechanistic insight
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high potency, stability and specificity and test its therapeutic potential in a wound-on-a-chip model of skin scarring. Expected Results This project will lead to the elucidation of a new mechanism of
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, the fungus that has caused some of the most severe die-offs ever recorded in wild species. This fungal pathogen is causing the White-Nose disease in bats. The main questions asked will be: 1-Is the P