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oscillation analyses • Practical Experience of deploying state-of-the-art machine learning techniques Desirable: • Ability to develop and apply new concepts • Verbal and written communication skills • Ability
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the Institute of Applied Physics in Florence, Italy (IFAC) and to conferences in Europe to present scientific results. Knowledge of inverse methods, statistics or machine learning Knowledge of remote sensing from
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processing, involving machine learning techniques, as well as active participation in data collection from the detectors deployed on site. - Analysis of particle physics data applied to muography: filtering
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13 Feb 2025 Job Information Organisation/Company Ecole Centrale de Nantes Research Field Engineering » Geological engineering Engineering » Computer engineering Engineering » Computer engineering
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integration (including environmental sensors and eye-tracking technologies), strong machine learning and deep learning skills (especially embedding models and spatial data analysis), and experience in
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and machine learning Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8254-SYLDES-005/Default.aspx Work Location(s) Number of offers available1Company/InstituteLaboratoire
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and machine learning Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7018-CEDGEN1-002/Default.aspx Work Location(s) Number of offers available1Company/InstituteLaboratoire de
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Brain Barrier (BBB), CNS Drug Delivery, Brain Shuttles, Brain Imaging, Medicinal Chemistry, Computational Science, Artificial Intelligence (AI), Machine Learning. MAIN SUB RESEARCH FIELD OR DISCIPLINES1
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programming, CAD or generative design tools, knowledge in crystal plasticity, continuum mechanics, additive manufacturing, data science, and machine learning. Additional comments More information about the
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machine learning approaches, and genetic approaches to manipulate the expression of candidate genes in microglia in vivo. The project capitalizes on a cell-therapy recently developed in the team, which