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responsible to develop an optical coherence tomography (OCT) integrated with a laser ablation system. OCT is responsible for providing real-time visual feedback of the ablation site and controlling the crater
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, the research group has investigated effects of trainings that help people recognize misleading data visualizations, thereby reducing their negative impact on information extraction (for example, see Rho et al
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) Unsupervised machine learning and deep learning methods Analysis, visualization, and interpretation of learned design spaces Contributing to research outputs (prototypes, publications, open-source code) Profile
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documentation, visualization, and technical development Additional tasks based on interests and skills (product development, interface development, ect) Profile The candidate should be a student or recent
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data analysis and visualization Desired qualifications and skills: Prior experience with either severe thunderstorm dynamics or numerical modeling Familiarity in working with Linux on HPC clusters
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of quantitative methodology across PDD through internal consultation, external collaboration, and continuous capability building; and Visual Analytics, which creates and maintains interactive dashboards that drive
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Resonance Imaging (NMR/MRI), electron paramagnetic resonance (EPR), and dynamic nuclear polarization (DNP) instruments to conduct reactive experiments inside and quantify and visualize a wide range of
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advanced statistical analysis, pathway & network analysis, Integrating complex clinical, biological and molecular data. Contributing to data visualization, figure generation and interpretation
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cleaning & extraction processes, comprehensible visualizations, and curated data publications. Job description Your efforts will support ongoing projects, including: Update of raw data extraction for a
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, visuals, diagrams, and storyboards. These representations are not only used to explain or illustrate programs, but also serve as executable media that allow learners to express, test, and reason about