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control (e.g., Git); data management tools; basic image processing/segmentation tools as used in the lab, R studio; 3D visualization/modeling software as applicable Preferred Additional Knowledge, Skills
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research interest. You have a background in computer science, visual computing and computer vision or at least a strong interest. You have a background in nuclear technology, radiation physics and nuclear
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, and applied analytics. Also requires a minimum of five years of relevant experience in financial analysis, data visualization, business intelligence, or a related analytical function in a higher
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the cloud. Implementation of pipelines to collect real-time data from IoT sensors. Expertise in IoT-oriented databases (e.g., InfluxDB, PostgreSQL, Firebase, etc.). Knowledge of data visualization tools (e.g
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and behavioral trajectories. Communicate well in a team environment and regularly present the state of work. Assist with data visualization and contribute to document analysis, observations, and results
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) Data analysis and reporting in Excel Formulas and functions (e.g., XLOOKUP, PivotTables, IF statements) Data visualization, dashboards, and reporting automation Microsoft Word for business documents and
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
analysis and visualization for UCSF Health, Benioff Children's Hospitals and our affiliates. As part of the data analysis and reporting efforts, this position will focus on providing expertise across
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visualization tools (Power BI), and Excel. Experience with CRM systems and marketing automation platforms (Salesforce, Epic, Marketo, etc.). Strong understanding of HIPAA and healthcare data privacy standards
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) of the Croatian Science Foundation (hereinafter: HRZZ). Further information about the PDIP-2026 call is available on the Croatian Science Foundation website: https://hrzz.hr/prijava/otvoreni-natjecaji/ The Call is
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also include preparation of food samples, extraction and analysis of target and non-target compounds, processing of large HRMS datasets, data analysis, statistical evaluation, collaboration with