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for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates, by integrating image analysis and docking across multiple structural
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how the infrastructure works and make scientific analysis usable by everyone. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5560-VALTHO-012/Candidater.aspx Requirements Research
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regimes; and machine learning, capturing complex nonlinear behaviour at the cost of model opacity. BENEFIT synthesises these paradigms by integrating stability analysis directly into machine learning
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the field. Perform quantitative analysis and agent-based modeling of behavior. Report, discuss, and present data to the team. The position is for 36 months. Laboratory work using virtual reality (VR
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track record, having graduated a MSc degree (or equivalent) in System neurosciences, Computational Neurosciences, Bioengineering or Biomecanics track. The tasks will include acquisition and analysis
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possibilities for automating the analysis of comic book pages, linking elements together, and generating narration scripts. The EnACA Project aims to develop a toolchain ranging from the automatic analysis
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to monitoring scientific progress and defining short-term objectives. More informal discussions will also take place as needed, particularly during intensive phases of numerical development or data analysis
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), and natural rocks in precarious equilibrium (or 'PBR') that did not fall during past seismic events (e.g. McPhilips & Pratt, 2024). Each analysis will provide important information for estimating
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matter at very low energies. The data consist of high-resolution pixelated images, enabling detailed characterization of energy deposits in silicon. Novel analysis techniques (clustering, signal/background
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or immunology and be committed to interdisciplinary research. Skills in cell biology, biochemistry, advanced microscopy techniques, image and high dimensional data analysis would be valuable assets. Curiosity and