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-pass surveying; (b) develop and deploy vision / AI algorithms, including implementation on embedded platforms; (c) carry out data collection, flight experiments and analysis; and (d) assist in
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE DELL'EDUCAZIONE | Italy | 9 days ago
18 Sep 2026 Job Information Organisation/Company ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE DELL'EDUCAZIONE Research Field Educational sciences Researcher Profile
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analysis, and data visualization. Apply advanced statistical, machine learning and AI methods when appropriate. Review analysis outputs and ensure methodological consistency and quality. Collaborate with
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, spatial transcriptomics, imaging-based spatial assays, or allele-resolved genomics is highly desirable. Experience with Linux/HPC environments, reproducible workflows, statistical analysis and visualization
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reproducible pipelines for data cleaning, quality control, statistical analysis, visualization, and reporting. Apply machine-learning methods to clearly defined research or clinical questions and compare
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of relevant experience Ability to use statistical analysis, simulations, predictive modeling, or other methods to analyze information and develop solutions that support the university's mission Advanced
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or multi-omics integration preferred. Experience with Python preferred. Knowledge, Skills, and Abilities: Proficiency in R for data manipulation, statistical analysis, and visualization. Working
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, and data visualization for undergraduates across disciplines. Qualifications A Ph.D. or equivalent degree in fields related to computational or data sciences and their applications in computer science
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correlations, or similar approaches. Ability to independently develop and modify code for data analysis and visualization. Strong attention to detail and ability to organize and manage research data. Schedule 10
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to test then give feedback and visual quality assurance. 5. Assists UX Research team with user research and use data collected from a variety of metrics such as research, customer feedback, user testing