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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will be responsible for applying our deep-learning-based
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processing/computer vision and machine learning. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5216-VIRFAU-063/Default.aspx Requirements Research Field Physics Education Level
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and DFT databases, and may collaborate with experimental groups to validate numerical predictions. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8023-MARBOC-002/Default.aspx Requirements
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has quantified the evolution of natural avalanche activity under climate change in an exemplary alpine valley, the Haute-Maurienne (Doussot et al., 2026). Combining a statistical learning model trained
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-based control with learning-based components)—and validate it on real multi-purpose robotic platforms. - Algorithmic foundations of modular motion generation: Establish principled ways to decompose a
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next-generation neuromorphic implants with learning capabilities for healthcare applications, utilizing ultra-low power technology for embedded devices. This topic is a major area of research activity
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high-performance GPU cards will be provided to the PhD student to support the development, training, and implementation of machine learning models. Travel and participation costs for project meetings and
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English is essential. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/IRL3639-ALPMIC-003/Default.aspx Requirements Research Field Biological sciences Education Level PhD or equivalent Research
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metazoans by combining deep learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability
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will also support the development of machine-learning models to predict biochar catalytic performance from feedstock composition and preparation conditions. Where to apply Website https