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enabling process monitoring, learning, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control methods with practical applicability and theoretical
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will include process monitoring, estimation, analysis, optimization, and control policy development. The project requires hands-on expertise in ML, time-series forecasting, modelling, and control of
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EU programme Reference Number AE2026-0227 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt
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imaging (QGI). The fabrication of SPADs using standard Complementary Metal Oxide Semiconductor (CMOS) technology allows the cointegration of the sensing devices with the electronics that process the
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new polyols from soybean oil for the preparation of bio-based polyurethanes. Development and optimization of bio-based paints using renewable-based polyurethanes. The work will be carried out at the
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, optimization techniques and AI/ML models to support edge intelligence and the next generation of mobile communication networks (5G+/6G) with focus on the radio access segment. Place of work: The work
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. Work Plan Month 1 and 2: Preparation and optimization of culture conditions in the DASbox bioreactor, including inoculation of water buffalo cells onto the three selected microcarriers and monitoring
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two years in that typology of the scholarship, followed or interpolated. and Requirement 2: - Hold a master’s degree in Chemical Engineering – Process and Product or related field. If the degree has
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-26-38 Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref. H2SYMBIOTIC-METHANATION-BOLS-FEUP-26-38) by 25-09-2026 Selection process Full
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internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete