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scientific programming, preferably in Python, for processing, analyzing, and visualizing experimental data; 6) Experience in curating, harmonizing, and managing experimental databases; 7) Experience in
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, qualitative and visual methodologies, and knowledge production oriented towards non-academic audiences. The activities to be carried out within the scope of this project include: Participation in the collection
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