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. Advanced (statistical) data analysis (including meta-analysis and longitudinal analysis) and programming skills Ability to write complex reports and/or scientific publications, demonstrated through emergent
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science or a related field near completion * Previous experience in analysing neuroimaging (structural magnetic resonance imaging or low field neuroimaging) data across age-groups Advanced (statistical
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Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging, statistics are preferred but not required
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findings. Knowledge, Skills, and Abilities: Knowledge of coordinating experiments, and completing analysis, statistics, and interpretation. Ability to communicate in a clear, concise manner orally and in
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in genomics, genetics, and statistical analyses. Experience with transcriptomic and epigenomic data analysis. Proficiency in programming languages, such as R and Python, for data analysis and
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experience in designing and conducting human subject research. Proficiency in statistical analysis and familiarity with software such as SAS, SPSS, R, or similar. Excellent scientific writing and oral
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to program in Python; conduct appropriate statistical analysis of experimental data. Strong oral and written communication skills. Ability to mentor undergraduate and graduate students. Ability to travel
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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Safety Report In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report
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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging