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statistical computing environment for data manipulation and analysis with consideration for team-based code development; experience developing and maintaining interactive visualizations using R-Shiny
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, timelines, and communications. Data Support and Reporting Assist with the compilation, analysis, and reporting of assessment and survey data. Prepare summary reports, tables, dashboards, and visualizations
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 10 days ago
workflow management systems, - Experience in bioinformatic analysis of genomic or transcriptomic data, - Experience in analysing and visualizing data in R. Work plan: The selected candidate will work for the
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on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Design and implement scalable, robust data
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, analysis implementation and data visualization, and dissemination of results. You will be expected to co-author abstracts, oral and poster presentations, and scientific manuscripts, providing high-level
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Performance Research & Analytics Coordinator in storage, hygiene, analysis, visualization, and overall stewardship of performance-related data. Essential Functions: Report directly to the Director of Sport
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statistical data analysis and visualization Didactic aptitude for contributing to teaching in Biochemistry and Molecular Biology Excellent English skills, both written and spoken German language skills
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and
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Location Lexington, KY Grade Level 11 Salary Range $54,080-95,056/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https
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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