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sciences. The fellow will work alongside Dr. Leslie McClure, Dean of CPHSJ, and contribute to the development and application of advanced statistical methodologies to analyze large-scale health-related
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) and neurodegeneration. The fellow will lead and contribute to advanced bioinformatics, multi-omics integration, and statistical modeling efforts using large, well-phenotyped longitudinal datasets (e.g
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epidemiology and prevention. Proficiency in statistical analysis software such as Stata, R, or SAS. Strong interpersonal and communication skills, with the ability to collaborate effectively in a team
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quantitative research methods. Experience conducting research in the field of mental health, particularly in the areas of suicide/self-harm epidemiology and prevention. Proficiency in statistical analysis
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in the areas of suicide/self-harm epidemiology and prevention. Proficiency in statistical analysis software such as Stata, R, or SAS. Strong interpersonal and communication skills, with the ability
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analyze experimental data using statistical and computational tools. Maintain accurate records of research procedures and results; prepare reports and manuscripts for publication. Utilize electronic data