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) Focus on Microbiome Data Science and Explainable Machine Learning Core research themes We are looking for motivated and skilled students to join our research team in the field of plant microbiome data
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records, aiming to co-create practical tools deployable in real-world clinical settings. This work is central to a multidisciplinary collaboration bringing together experts in machine learning, neuroscience
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fields : Computer Vision, Machine Learning, Pattern Recognition • Strong programming skills in Python • Good knowledge of Linux tools and environment • Autonomous and rigorous • Curiosity and creative
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 1 day ago
collaboration with the Berger-Levrault company. The candidate will be encouraged to propose analysis tools for developers and engineers, which can be included directly in the software development environment
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Jobs from This Employer https://main.hercjobs.org/jobs/22146376/machine-tool-technology-machinist-instructor Return to Search Results
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/certification?: Preferred Computer Applications: Microsoft PowerPoint, Microsoft Outlook Preferred Other Computer Applications: Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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Posting Summary Logo Posting Number STA00188PO26 Job Family Operational Analysis Job Function Business Intelligence USC Market Title IT Technical Trainer Link to USC Market Title https
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the EnRDIA project, backed by the ANR DIA-SOLAIRE projecthttps://dia-solaire.univangers.fr/fr/index.html ), we are recruiting a design or research engineer to develop an innovative digital tool based
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for the development of digital forensic tools for prevention, detection and prioritization in Spain (ONSEXGROOM:ES) https://www.upv.es/entidades/SRH/conypi/A1272732.pdf Where to apply Website https://sede.upv.es