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Laboratory (https://sage.unistra.fr/ ) is recruiting a postdoctoral researcher as part of the LegiQuanti project, a research platform dedicated to the empirical and quantitative analysis of legal and
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their 4th or 5th year of studies (M1, M2 or gap year) - Computer vision skills - Machine learning skills (deep learning, perception models, generative AI…) - Python proficiency in a deep learning framework
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well as the parents' and professionals' beliefs and practices Contribute to the translation of documents, organization of data and data analysis, e.g.: transcription, analysis Assist the project team with day‑to‑day
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prerequisite for any use in nuclear safety; and, in the second year, tackling a high-value exploratory axis — generalizing PULSE to a continuous latent space, opening the door to any disordered crystal or alloy
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1,000 seconds. This postdoctoral position is part of a three-year collaborative project led by the Plasma Physics Laboratory (LPP) at École Polytechnique and involving German partners. The project aims
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
Context With over 6 million victims every year, stroke is the second-leading cause of mortality worldwide. The 20 million patients that survive their stroke often suffer from long-term disability
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live-cell imaging and quantitative microscopy to dissect these mechanisms at the molecular level. We are offering a 6-month full-time internship for a highly motivated second-year Master’s student (M2