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Field
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. Advanced machine learning, reinforcement learning, and agent-based optimization techniques will be developed to reduce voltage deviations, cut active power curtailment, and improve system adaptability under
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an integrated process for converting CO2 into valuable chemicals using renewable energy. The approach combines biotechnological and electrocatalytic processes to efficiently transform CO2 into useful chemicals
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Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement: Good oral and written communication skills in English
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mechanisms within potential CO2 storage complexes. Consequently, optimal deployment of CCUS solutions relies upon a robust understanding of fault network architecture in the subsurface. This project will
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supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50 of the monthly maintenance stipend. INESC
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investigation of processes relevant to the ambient Chamber / flowtube experiments with a focus on solid fuel combustion and mixed source experiments Publication in high impact journals Support / Co-supervision
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: (i) improving irrigation efficiency; (ii) optimizing on-farm strategies for managed aquifer recharge; and (iii) assessing the long-term impacts of irrigated agriculture on crop production, soil health
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be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50
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, implement, and optimize preprocessing and analysis pipelines Conduct advanced statistical and computational modeling of brain data Integrate multimodal datasets (neuroimaging, behavioral, physiological
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the Gravimetric Atom-Interferometer (GAIN) - prepare, optimize and use GAIN for comparison measurement campaigns - improve GAIN by implementing new technologies which also enable new measurement modes and