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Field
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IoT-oriented databases (e.g., InfluxDB, PostgreSQL, Firebase, etc.). Knowledge of data visualization tools (e.g., Grafana, Tableau, etc.). Personal and organizational skills Ability to solve complex
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for data visualization and presentation. • A track record of first-author publications in peer-reviewed journals. • Experience in conducting bench or human studies is preferred. Application Information
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), with a track record of working with large, complex datasets. This includes collecting, managing, analyzing, and visualizing/communicating data to a variety of audiences: the general public, scholars
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appointment) in a relevant field, such as geodynamics, seismology, geophysics, or computational science. Ability to sit for extended periods (e.g., 6–8 hours/day). Visual acuity to read computer screens and
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mounting tissue specimens. Visualization and analysis of IHC imaging data Multiunit electrophysiological experiments, particularly using Neuropixels Knowledge, Skills, and Abilities Excellent verbal and
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred
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degree in the natural/life sciences or human medicine and practical experience in healthcare/science management, especially scientific project management. Experience in data analysis and visualization is
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-quality writing, tabular and visual materials for research reports and presentations; conduct internet and other data searches; conduct literature reviews; assist in the development of research proposals
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Medical Informatics Lab, affiliated with the Visual Informatics and Data Analytics (VIDA) group in the College of Computing and Digital Media. What You'll Do: Conduct data collection, preprocessing
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics