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parameters that are difficult to optimise manually. Without careful control, components are prone to defects and may exhibit inferior mechanical properties compared to those produced via hand layup. Selecting
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systems; - Preferably with prior knowledge or experience in research projects related to agrivoltaics; - Ability to analyse data and produce scientific documents. - Good command of English and Portuguese
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Tecnologia (RBI No. 950/2019)*; Proficient command of the Portuguese language. * mandatory requirement Work plan: The candidate will carry out R&D activities within the scope of the ReNUT project, namely
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within the framework of project PROMisH - Potential of Rheologically-Optimized Magnetic Emulsions in Hemotherapy, with nº 16207, and the operation code at the Funds Platform COMPETE2030-FEDER-00736400 and
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, Hierarchical Decision and Control Systems, with a primary focus on manufacturing and autonomous systems. (1 to 5 points); C. Knowledge and Experience in Control Systems, Mobile Robotics, Adaptive Sound
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relationships, this project aims to elucidate the mechanisms governing hydrogen uptake and release, ultimately contributing to the rational optimization of materials for efficient, safe, and controllable hydrogen
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; consistent messaging; customer service; and processing. Extensively collaborates with FAS staff leadership on best practices, policies and business process development, optimization, maintenance, and
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requirements: Candidates should possess expertise in the characterization of nutrients and bioactive compounds derived from undervalued resources and food products. Experience in optimizing extraction processes