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organismal levels • Gene expression analysis (histology, scRNAseq data minining) • Phenotyping using behavioural setups • Acquisition and segmentation of image datasets • Bioinformatic data analysis (genome
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learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level logical blocks
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their website at https://www.naritalab.com/ Our laboratory investigates the biology of preneoplastic cell states, with particular interest in how changes in cell functional identity and plasticity are controlled
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opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation. Where to apply Website https://www.academictransfer.com/en
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and state-of-the-art image segmentation. Your profile We are looking for a motivated candidate with good teamwork skills who can work independently in a goal-oriented manner. The ideal candidate should
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
, 2016. [4] Delahaye, Clara, and Jacques Nicolas. “Nanopore MinION Long Read Sequencer: An Overview of Its Error Landscape,” November 23, 2020. https://hal.inria.fr/hal-03123133 . [5] ———. “Sequencing DNA
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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at IP2I (LMA) and extreme adaptive optics (XAO) for exoplanet imaging at CRAL. This interdisciplinary initiative aims to develop a new generation of wavefront sensors capable of achieving sub-nanometric
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Genome Duplication During Development and Disease Every cell division begins with one of biology’s greatest engineering challenges: faithfully copying an entire genome. Yet how genome duplication is