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produce and interpret dynamic visual signals. The successful candidate will contribute to experimental design, computational analysis of behavioral data, and the integration of biological insights with
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into audio formats (e.g., audio description), accessibility in general and for comic books in particular, immersion, and user experience Detailed analysis of the accessibility needs of visually impaired users
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), combining state-of-the-art in vivo approaches with quantitative data analysis. About the lab and environment The Rebola Lab (https://therebolalab.org ) studies how variability in synaptic function across
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, processing, visualization, interpretation…) Analyze single-cell and spatial transcriptomics datasets Decipher metabolomic patterns Perform high dimensional data analysis and integrative ‘omic’ data analysis
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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), such as a two-dimensional map or a three-dimensional model. Situated visualization has been shown to enhance the understanding and analysis of data. Within the context of DTs, interaction with situated
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in data analysis, scientific visualization, and signal processing will be considered an asset. The candidate should demonstrate autonomy, scientific rigor, and teamwork skills. Strong abilities in
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analysis and processing: NumPy, Pandas, SciPy; - Machine learning/AI: Scikit-learn, TensorFlow, PyTorch (preferred); - Data visualization: Matplotlib, Seaborn, Plotly. LanguagesFRENCHLevelGood
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) / Immunofluorescence (IF). • Data analysis: Proficiency with flow cytometry analysis software (FlowJo, SpectroFlo, NovoExpress), image analysis tools (Phenochart, Halo), and statistical/visualization software (GraphPad
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 13 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis