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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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California State University, San Bernardino | San Bernardino, California | United States | 14 days ago
other students from across the campus. The core approach taken to teaching across all the areas of the department focuses on visual and material literacy, as well as critical and discursive analysis