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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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, and guide rigorous data collection and analysis to inform continuous, evidence-based program improvement. Job Description: Job Duties Outlined: Principal Accountabilities: Along with the PI, lead
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
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. The focus of the job is to oversee a subgroup in the laboratory dedicated to projects using machine learning, data analysis, and artificial intelligence. The overall goal is to conduct multiple projects
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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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Develop and maintain applications for data management, visualization, and research collaboration. Work closely with researchers to understand their software requirements and provide technical solutions
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Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. | Dortmund, Nordrhein Westfalen | Germany | 28 days ago
of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular
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Data Support Specialist II, Computer Science (Temporary) Posting Number req25220 Department Computer Science Department Website Link https://www.arizona.edu/degree-search/majors/computer-science-bs
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data. Strongly prefer an understanding of Medicaid, Medicare, and/or private healthcare claims data systems. Understanding of and/or experience with analysis of electronic health record data, including
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(OEO/AA). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at: https://www.utah.edu/nondiscrimination/ Online