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given to technological developments enabling the analysis of sensitive data in federated settings. This approach facilitates the generation of AI models without requiring data to be moved from its
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Number req25150 Department RII Research Communications Department Website Link https://research.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Project and Production
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26 Jan 2026 Job Information Organisation/Company Institut de physique du globe de Paris Department Ressources humaines Research Field Other Researcher Profile Recognised Researcher (R2) Positions
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areas: GIS software; spatial analysis and visualization; programming in R, Python, or similar; epidemiology; etiology; data communication; systems evaluation; quantitative data collection and analysis
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, visualizations, and briefings for university stakeholders. Document methods, code, assumptions, and results for reproducibility. Knowledge, Skills & Abilities Coursework in data science, modeling, or machine
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, neuroanatomy, rodent behavior and/or bioinformatics is an advantage. Previous experience working on neuropeptides. Programming skills (MATLAB, Python) and ability in data analysis and visualization is a strong
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studies that ensure that data and documentation will support re-use. Maps a protocol's data flow plan including data capture, storage, transfer, management, quality, and preparation for analysis (may
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to effectively utilize data analysis processes and toolsets. The Analytics Engineer reports to the Manager for Data Analytics & Business Intelligence. What You Will Do: Technical Implementation Develop a dedicated
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of experience with data science, including statistical analysis, data transformations, and visualization Advanced ability to communicate complex information in a clear and concise manner both verbally and in
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of artificial intelligence and scientific computing including physics-informed neural networks and digital twins; uncertainty quantification, high-dimensional data analysis, and visualization; generative models