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generation of health data scientists. Areas of expertise include bioinformatics, computational biology, artificial intelligence, network science, Bayesian methods, spatiotemporal methods, visualization
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; Experience with basics statistical analysis or data visualization; Experience in EU funded project management and coordination is considered an advantage; Excellent command of English is mandatory while
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development and validation supporting data analysis and visualization of the project contributing to academic paper writing and proposal development. The successful candidate will have a demonstrated background
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the creation and analysis of a shareable data set (of already collected data) from nearly 10,000 children ages 15 to 36 months. There is both a scientific premise and a methodological premise underlying the
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datasets generated by PIV and PLIF experiments to determine the effects of rotation on mixing efficiency and solute deposition. You will develop scripts for data processing and visualization, providing
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skills, including data analysis. Proven ability to independently analyse and interpret a wide range of information from varying sources, to make rational decisions, and to be creative and flexible in
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degree in a related field plus proven/relevant experience Relevant experience teaching in an online or asynchronous format. Expert knowledge of data visualization tools such as R, Tableau, Python, D3
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University of California, San Francisco | San Francisco, California | United States | about 5 hours ago
experience in SharePoint administration 1-3 years experience generating operational metrics through the analysis of operational data and generating analytical visualizations of the metrics for increased
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to design their imaging experiments (e.g. choosing microscopy modalities, sample preparation), maximize quality of imaging data, and consult on image visualization and analysis. The director will facilitate
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thresholds and perceptual decision making. Candidates should have expertise in the visual system, electrophysiological data analysis techniques, statistical analysis, computational modeling, and a track record