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Field
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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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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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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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: (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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operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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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
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industry to employ quantum technologies to address challenges in, e.g., environmental protection and the optimal use of natural resources. Specifically, this project will use atom Interferometry