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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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University is recruiting postdoctoral scholars with prior training in statistics, biostatistics, computer science, bioinformatics or a closely related area. Applications are invited from ambitious, independent
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statistics and fMRI data analysis, as well as basic knowledge in, or willingness to learn about, the psychology of aging. Minimum Qualifications Ph.D. in Psychology, Neuroscience, or a related field at the
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, statistical modeling, interpretation of metabolomic signatures, and integration with cardiometabolic outcomes. Assist with Data Management and Sharing activities, including data curation, documentation, quality
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experience with autism and specifically psychometrics is desirable. In particular, the candidates should have demonstrable experience with latent variable approaches and proficiency in relevant statistical
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knowledge of statistical and computational research methods (e.g., predictive/user modeling), cognition/affect tracking, measurement theory, analyzing high-frequency time series data, experience with
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) for each of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses
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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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/ programming; Python highly desirable (or proven expertise in other languages). 3. Solid knowledge of statistical methods and data analysis. 4. Prior research experience with Machine Learning is a valuable asset
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The JSB (Junction of Statistics and Biology) Lab at Fred Hutch, led by Professor Jingyi Jessica