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Field
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must provide evidence of degree-in-hand prior to being offered the fellowship. Work Experience: Experience using Stata and/or R statistics software to manage datasets and estimate regression models
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biology, neuroanatomy and mouse behavior. 4. Experience with programming in languages including Python, R, MATLAB is highly desired.
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single-cell RNA-seq data processing and analysis pipelines (such as Seurat, Scanpy, etc.) Proficiency in R or Python for statistical computing and visualization Familiarity with dimensionality reduction
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statistical methods; and experience in analyzing clinical trials data. The applicant must have excellent communication skills (verbal and written), strong programming skills in R with proficiency in UNIX/Linux
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with basic Immunological concepts. Preferred Qualifications Prior experience with live cell fluorescent imaging. Experience working with Python, R, and/or command line applications. FLSA Exempt Full Time
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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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and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques. Preferred Qualifications: Prior working experience with EHR data, machine
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and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub, containers is recommended. Familiarity with cloud technologies, databases and Pangeo ecosystems is a bonus. The Term
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/or energy *Strong methodological and quantitative skills, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling
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software program (e.g., R, STATA) Demonstrated experience accessing, preparing, and analyzing secondary data Strong interpersonal and communication skills, with the ability to collaborate effectively with