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available in the lab. This individual will program and operate various metal additive manufacturing, and CNC machines to produce finished components, fixturing, and tooling integral to the production
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Università degli Studi di Cagliari - Dipartimento di Ingegneria Civile, Ambientale e Architettura | Italy | 11 days ago
Chemical Foundations of Technologies / SSD 03/CHEM-06/A – Chemical Foundations of Technologies, within the framework of the project “RESQTOOL - Recycling of High Quality CRM Resources from Machining Tools
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. The doctoral candidate will engage in interdisciplinary research, modeling threat actors, and developing AI-based monitoring tools. Responsibilities include publishing in top-tier journals/conferences and
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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 | 2 days 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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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https
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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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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