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: Prototype of a membrane degasification module for ammonia recovery from landfill leachate , inserted in WP 5 - Renewable gases and biofuels. The selected researcher may also provide possible collaboration in
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work: Prototype of a membrane degasification module for ammonia recovery from landfill leachate, inserted in WP 5 - Renewable gases and biofuels. The selected researcher may also provide possible
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development and drawing automation (WP2); Support in documentation, simulation, and communication of the project, including data visualization, project simulation, rendering, and image/graphic editing (WP1, 2 e
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web frameworks, REST/GraphQL APIs, automated testing). • Continuous integration and continuous delivery (CI/CD) in a cloud environment. • Functional validation and performance of the prototype in a
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for the development of the prototype should be entirely synthetic. For this purpose, generative artificial intelligence tools (5)(GenAI) should be used to create users with different profiles and relevant datasets
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and functional requirements of the system, analysis of data sources and characteristics, definition of performance metrics and criteria for comparison between approaches. 3) Initial prototype
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and Azor drift-cam) for image acquisition in deep-sea ecosystems. At the end of the dissertation work, the candidate will have strengthened their technical and scientific skills in the analysis of deep
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in: Collecting images, video, and photography for the production of science communication materials; Direct contact with researchers for the collection and processing of information related
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; - Develop and optimize molecular and cellular biology protocols (e.g., cloning, Western blot, RT-qPCR, etc.); - Perform live-cell confocal microscopy (including image acquisition and analysis); - Provide
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with MDE and Object Detection models; Experience in depth data collection and curation, including 3D reconstruction and synthetic image generation. Other skills: Excellent English communication skills