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statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures
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for single-cell. Biological handling experience in musculoskeletal disease (such as osteoarthritis) or cancer. Additional experience in materials characterization is of interest. Familiarity with R or similar
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neural networks, knowledge graphs, and graph databases - Proficiency in programming languages such as Python, R - Excellent analytical and problem-solving skills - Strong communication and teamwork
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exhibit a comprehensive understanding of research methods and data analysis. Intermediate or advanced knowledge of SPSS, Stata, R or SAS and multivariate statistics. Applicants must demonstrate strong
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institution by the start of the appointment. Applicants must exhibit a comprehensive understanding of research methods and data analysis. Intermediate or advanced knowledge of SPSS, Stata, R or SAS and