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10 Apr 2026 Job Information Organisation/Company Università degli Studi di Siena Research Field Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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research study at the Carceral Ecologies lab, applying acquired skills in research data analysis, project coordination, and stakeholder engagement to assignments of moderate scope and complexity. Working
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. The Information Specialist serves as an early-career data analyst, contributing to the preparation, organization, analysis, and validation of research data used in observational, outcomes, pharmacoepidemiologic
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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
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. Qualifications Hands-on experience in data analysis An experience in astronomical/scientific data analysis is preferred. 1-year experience in Python programming is essential. (Required) Hands-on experience in data
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for resolving a variety of programming design and implementation issues, working on programming assignments of moderate scope where analysis of situations or data requires a review of a variety of factors. The
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) collection, taxonomic identification, preservation, rearing of Culicidae, and laboratory analysis of samples; v) database management, descriptive data analysis, and preparation of technical-scientific reports
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI FISICA E ASTRONOMIA | Italy | 12 days ago
the analysis of ATLAS data in the search for heavy neutrinos within Left-Right Symmetric Models. The goal is to advance the analysis to the publication stage, including the determination of limits and a thorough
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experience in environmental molecular biology and metagenomic data analysis. Skills in bioinformatics (R, Python, omics data analysis) are highly desirable. The ability to work independently while engaging in
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the development of novel mathematical and computational approaches for advanced relational data analysis. Where to apply Website https://pica.cineca.it/unimc/20-br-071/ Requirements Research FieldTechnology