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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 1 month ago
24 Mar 2026 Job Information Organisation/Company Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova Research Field Engineering Researcher Profile Recognised Researcher
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multi-sited design (Italy, Mexico, Indonesia), integrating multi-scalar ethnography, discourse and visual analysis, digital ethnography, and Social Network Analysis. The contractor (Senior Researcher
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to study design, data quality control, visualization, and reproducible reporting of results. Strong communication skills are essential, as the role involves translating analytical findings into clear
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, security, and accessibility. Generate clear, actionable reports and visualizations for internal and external stakeholders. Collaborate with the Office of Institutional Research to align data practices and
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of professional experience in data analysis or related role Expert-level proficiency in SQL, including complex queries, joins, subqueries, window functions & query optimization Strong experience with Tableau
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using Tableau Commitment to improving data quality and documentation Key Responsibilities: Data visualization and analysis (40%) Visualize data, create metrics, and develop analytical models (predictive
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treatments, and contributing to the analysis of CRISPR screening data. Duties include*: Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate
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and decision-making by conducting independent research and advanced data analysis. Reporting to the Assistant Vice Provost and Director of Data Analysis and Reporting, this role develops and executes
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processes related to data analysis. This employee must possess knowledge and understanding of the complexities of assessment, evaluation, and data as well as a high degree of knowledge of statistical
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general analytics on data sets in the area of university research activity. Activities include: defining data requirements, data collection, processing, cleaning, analysis, reporting and visualization