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asphaltene precipitation and the onset temperature of paraffin crystal formation, phenomena of great relevance to the oil and gas industry. Our group has recently established a laboratory specifically designed
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Algorithms for Agro-industrial, Health, and Environmental Sustainability, within the FAPESP Center for Research and Innovation on Smart and Quantum Materials (CRISQuaM). The project aim to develop quantum
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). The position offers the opportunity to interact with international collaborators and industry partners. The fellow is expected to explore and design solutions based on machine learning (ML), as well as the use
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asphaltene precipitation and the onset temperature of paraffin crystal formation, phenomena of great relevance to the oil and gas industry. Our group has recently established a laboratory specifically designed
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Center (ARC) jointly set by the São Paulo Research Foundation (FAPESP) and hosted by the University of São Paulo's Engineering School (POLI-USP) in Brazil. The candidate is expected to contribute in line