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Field
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pipelines and visualization dashboards to communicate results effectively. Familiarity with geospatial data analysis and methods for extracting insights from unstructured data. Job Family Postdoctoral Job
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investigators and trainees in experimental techniques and data analysis. Present research findings at national and international conferences and contribute to the preparation of manuscripts for publication in
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investigator and Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts
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. Design, implement, and validate experimental setups; conduct synchrotron-based measurements on quantum and energy materials. Build robust data reduction and PDF analysis workflows; document best practices
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research and teaching in applied analysis, computational mathematics, data science, discrete mathematics, financial mathematics, stochastics, and statistics. The Department of Applied Mathematics is the only
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Institutional Review Board (IRB) protocols. ● Design and execute data analysis pipelines using statistical methods and advanced computational tools. ● Translate complex findings into clear data visualizations
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. Provide training on experiments, simulations, and data analysis. Grant and Proposal Development Contribute to writing grant proposals. Identify new funding opportunities. Knowledge, Skills, and Abilities
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in the visualisation of analysis results of the acquired data; preparing publications and presenting results; collaborating with other team members. This is a half-time position for a post-doctoral
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(desirable). Proficiency in relevant software for data analysis and structural visualization. Experience with in-silico discovery and bioinformatic analysis of antimicrobial genes/gene clusters, and associated
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leading to educational reform at course, program, and/or department level. • Ability to use tools to code qualitative data (e.g., nVivo), survey platforms (e.g., Qualtrics, SurveyMonkey), data visualization