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simulation : Aspen HYSYS/Plus. • Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. • Life Cycle Assessment (LCA): experience with, e.g., Brightway2/SimaPro/Activity
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process parameters and deposition mechanisms for suggesting plating conditions that simultaneously optimize composition accuracy, microstructural uniformity, and functional properties. This AI-guided
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experimental protocols, including MR pulse sequence optimization and/or data acquisition strategies. Conduct MRI and/or high-density fNIRS measurements in healthy participants, following best practices in
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(CFI) comprises 20 researchers from the Mechanical Engineering and Chemical Process Engineering Dpts. The group has undertaken a considerable amount of research related to Additive Manufacturing (AM
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, Spain, mentor I. H. Rodriguez (7 months): Pilot-scale production of raw materials with controlled morphologies and optimizing the production processes of ZrO₂ membranes developed, transitioning from
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). Optimize the databases linked to the data spaces, ensuring system scalability and reliability in a cloud environment. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements
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/PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS
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FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 116329 Completion of a doctoral thesis on manufacturing process optimization through the implementation of Artificial Intelligence
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Engineering). - Theoretical foundations of 6G RAN and autonomous systems o Proven knowledge of AI-native RAN systems. Indicative skills/experience: - Deep understanding of 5G/6G RAN architecture (O-RAN, NG-RAN
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foodstuffs to end consumers, and in general, to improve the well-being of the population. IRTA has also been committed to food safety and the safe processing of foodstuffs and, in general, to enhancing