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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
are of particular interest. The candidate will also develop or improve software for the analysis of these unique MRI data, such as object detection, motion correction, and denoising. These novel MRI tools will be
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
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management systems or marketing methods. Ability to conduct data analysis with statistical software (e.g., SAS, R, Statistix). Ability to secure external funding to support applied research and educational
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management systems or marketing methods. Ability to conduct data analysis with statistical software (e.g., SAS, R, Statistix). Ability to secure external funding to support applied research and educational
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language (preferably R). Experience in statistical data analysis and visualization. Knowledge of salmon and salmon physiology The ideal candidate will combine the following personal qualities: Hard-working
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requirements. • Experience in experimental design, statistical analysis and data visualization. • Experience working with a diverse team of scientists to achieve common goals while demonstrating self-initiative
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, cybersecurity and more. University Research Services & Administration at Georgia State University is seeking to hire a dedicated and experienced Web Application Developer and Data Visualization, Lead. WHAT MAKES
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required. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship Within the Strategic Initiatives Team, you will contribute to: Conducting strategy
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, perform, administer, and oversee a wide variety of research programs or initiative data using the REDCap application. They will provide consultations to develop reports and visual representations
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and data analysis - develop novel ideas for solving specific problems in research projects - troubleshoot and resolve challenges around research methods, as needed - analyze experimental data from