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                optimization of polymer-modified electrolytes for DSSCs; Preparation, characterization and optimization of lab-scale DSSCs with new polymer-immobilized electrolytes under low-light intensities; Assessment 
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                and Biofuels of the Agenda “AET – Alliance for Energy Transition”. The work to be carried out include:i) Optimization of ammonia extraction using degassing membranes through simulation tools; ii 
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                ) construction of a laboratory-scale prototype for the electrochemical generation of ozone; (ii) testing and optimization of the electrochemical ozone generation system; (iii) testing and optimization 
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                , contributing to Task 2 of the project (Fuel Cell Development), more specifically in activities related to “Design and in-house construction of a stack for the targeted vessels” and “Performance optimization and 
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                resulting from anaerobic digestion, based on energy-efficient technological innovations. The work plan for this grant includes the development and optimization of the NETmix gas/liquid injector to maximize 
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                established there must be fulfilled until the time of signing the contract. Activity Outline: The recruitment aims at the performance of R&D work to study and optimize the operation of a biomass boiler fed with 
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                Status Activity Outline: Conceptualization of systems and product design. Mechanical development. Static, frequency and impact numerical analysis. Topological optimization methodologies. Legislation and 
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                : - Optimization of solid phase extraction of pharmaceuticals occurring in environmental matrices; - Development and validation of analytical methods based on liquid chromatography coupled to mass spectrometry 
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                and storage: Development and optimization of thin-film photovoltaic cell for low power applications in the IoT area (residential and personal equipment), contributing to the following project work 
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                applied to advanced production systems, and machine learning techniques, with particular application in the context of manufacturing systems for process optimization (1 to 5 points). D. Motivation letter