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identify metabolic signatures of cardiometabolic outcomes. Responsibilities include data processing, quality control, multivariate statistical analyses, and identifying metabolites linked to diabetes and
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. Desirable requirements: Experience with georeferencing and geoprocessing tools applied to urban studies, including the organization, processing, analysis, and spatial representation of data. Strong
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analysis, large-scale data processing, and machine learning applications for developing predictive methods. Desirable requirements: The candidate must possess scientific maturity to solve problems
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strategies and artificial intelligence based on chemical analysis results. The researcher will be responsible for the integration, processing, and interpretation of data, applying statistical methods and
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Instituto de Matematica Pura e Aplicada | Rio de Janeiro, Rio de Janeiro | Brazil | about 5 hours ago
projects in the field of mathematical sciences and close areas (e.g., natural language processing, scientific machine learning, computational physics, etc); b) produce technical-scientific knowledge