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Additional Information Website for additional job details https://recrutement.univ-angers.fr/poste/l3n5xsoefq-post-doctorante-en-machine-… Work Location(s) Number of offers available1Company/InstituteAngers
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data output by using appropriate computer language/tools to provide technical solutions for moderately complex application development tasks. Document code and associated processes by adhering
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Università degli Studi di Cagliari - Dipartimento di Ingegneria Civile, Ambientale e Architettura | Italy | 24 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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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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), creating efficient and readable LINQ queries, Auto Mapper (or similar mapping tools), NUnit (or similar testing tools). Skill to use web-programming protocols and languages including HTML, CSS, AJAX, SOAP
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. The ideal candidate is expected to demonstrate a track record of advanced hydrologic and hydraulic modeling, integrating radar/satellite precipitation, and data-driven methods to deliver actionable tools
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software using standard methods and/or tools. Works with, protects, secures, migrates, etc. data as needed to perform required and/or assigned duties implementing standard procedures and/or best practices
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to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility
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: Testing, inspecting, adjusting, calibrating and replacing components of wood, metal, plastic, welding, fabric tools (hand and machine), powered by electric, hydraulic and/or pneumatic systems. Maintaining
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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