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for evaluating applications will be: a) Quality of CV (40%) – including, among other elements, grades obtained throughout the academic career and its suitability for the objectives of the grant; b) Previous
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, and visualization, time series processing, and machine learning. Sense of responsibility and ability to communicate and integrate into multidisciplinary work teams. 3. Financial component - According
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; professional experience; participation in scientific events (with or without communication); participation in research projects; publications; other elements considered relevant for the assessment
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