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in speed-ups of two orders of magnitude and more. The focus of this position is to further develop this theory for reactive gas-particle flows, which is essential for the carbon capture process. The
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, Automation, Machine Learning and Artificial Intelligence, Sensor Networks, Hierarchical Decision and Control Systems, with a primary focus on manufacturing and autonomous systems. (1 to 5 points); C
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Artificial Intelligence, Sensor Networks, Hierarchical Decision and Control Systems, with a primary focus on manufacturing and autonomous systems. (1 to 5 points); C. Knowledge and Experience of participating
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field trials using sensors for automated mosquito classification; • Morphological identification and processing of mosquitoes, including pathogen screening within the scope of the REVIVE programme and
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grant within the framework of project AQUA-2-METHAN3X- Integrated Process using Water Harvesting Technologies for Hydrogen Production and Biogenic CO2 Valorization into Methane, with number 15170 and
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an overall reduction in greenhouse gas emissions at wastewater treatment plants; - Supporting the writing of project documentation and dissemination publications. 3. BRIEF PRESENTATION OF THE WORK
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: The grant(s) assigned under this call will be funded by the European Union, through the Horizon Europe Program under GA 101087584. VI.V - Information and publicity about the funding: In all R&D activities
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gas exchange, water potential, chlorophyll fluorescence, and other indicators of water stress; Collect, organize, and statistically analyse experimental field data, ensuring data quality, consistency