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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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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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, 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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resting-state functional MRI) Contribute to the acquisition and organization of neuroimaging and multimodal datasets Develop, implement, and optimize preprocessing and analysis pipelines Conduct advanced
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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
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Prevention (CDC) in Atlanta, Georgia. The Centers for Disease Control and Prevention (CDC) is one of the major operation components of the Department of Health and Human Services. CDC protects America from
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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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these systems in both classical and quantum regimes, we aim to develop new methods for solving complex optimization problems and advancing machine learning architectures. The research involves investigating how
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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