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Field
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
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ArcPro). Strong written, oral, and visual communication skills. Preferred Qualifications Knowledge and experience in: Inland and coastal floodplain/watershed hydrodynamics Flood frequency analysis and
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experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega, as well as expertise in languages and libraries for data analysis such as R
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skills in English. Proficiency in data analytics, visualization, and statistical analysis. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office
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in Scandinavia. Hyperspectral lidar data analysis and visualization. Administration related to the work duties listed above such as experiment risk assessment analysis and permits for work in protected
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projects for the ARCH study, including cohort data synchronization, data and survey data cleaning and analysis, dataset creation and management, manuscript writings for peer-reviewed publications, and submit
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and climate policy, and be a skilled communicator with experience in policy analysis. Experience with visualization of energy modelling insights to varied audiences would be an advantage. A track record
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datasets, metadata, and data from biochemical assays. The candidate will also play a key role in planning and acquiring new datasets through involvement in the design and analysis of human clinical studies
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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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general predictive modeling methods, including model design, parameter estimation, sensitivity analysis, and model evaluation. An understanding of data acquisition and curation methods for real-world data