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in data analysis, scientific visualization, and signal processing will be considered an asset. The candidate should demonstrate autonomy, scientific rigor, and teamwork skills. Strong abilities in
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of the HE ERC-StG Project VISIONSAFE / Visual Impairment Screening using Images from Ophthalmology and Novel pathways for Structural Analysis and Fast Evaluation (GA nº101162733). Tasks to be carried out
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of generative artificial intelligence and its potential to accelerate creative workflows. Students investigate key concepts, techniques, and tools used to shape and refine visual and textual outputs. The course
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and analyzing data, creating data visualizations and other statistical output, and supporting the dissemination of research findings. Responsibilities* The Research Assistant will engage in a number of
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located at 1100 South Marietta Parkway, Marietta, GA 30060. Job Summary Responsible for data analysis and reporting departments. Coordinates with departments and other University stakeholders to gather data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
frameworks Assist with data cleaning and analyzation for various research projects including quantitative and qualitative data preparation and analysis, supporting thematic analysis, preparing tables
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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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Analysis and Visualization Storing and Retrieving Data Duties may also include conducting tutorials, supervision of students in laboratory work, marking of assignments, setting and marking of examination
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progress. Data Analysis, Visualization & Storytelling High proficiency in Advanced Excel (e.g. Pivot Tables, VLOOK UP) for financial modeling, revenue projections and cost-savings analysis coupled with
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will be a part of our team. The main work will be sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users