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Qualifications: Bachelor's degree in data analytics or related fields At least one course in machine learning, statistics, data science, and programming Some basic level of coding skills in some programming
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community partners for participant recruitment. Data coding and management: Clean and score behavioral and psychophysiological data. Construct data sets for statistical analysis. Work with the Primary
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invertebrate husbandry Strong background in statistics Responsibilities: Research/experiments: Conducts research experiments. Collects data and analyzes results. Documentation and publishing: Writes manuscripts
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of in vitro assays, statistical analysis of data and assist the PI with the preparation and presentation of completed analysis to collaborators, stake holders and the publication of results in high
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. Experience mentoring students (graduate or undergraduate) Experience with quantitative data analysis methods. Experience with statistical software (e.g. R, SPSS, Mplus, etc.) Experience with data management
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for reports and manuscripts; utilizes computers to generate graphics and statistical displays. Supervision of Student workers and graduate students: May train graduate students, and part-time workers in
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records of animal inventory. Uses computers and laboratory or technical equipment to perform data analysis, statistical analysis, and technical evaluation of research experiments and results. Evaluates and
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of senior researchers, including data acquisition using techniques such as electrophysiology, imaging, or behavioral assessments. Organizes and analyzes collected data using statistical methods and software
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, or corporate settings Project management skills (e.g., previously conducting and coordinating public health and aging research) Statistical skills, publication experiences and gerontology-related field
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and R Proficiency with bioinformatics analysis workflows for transcriptomics Preferred Education and Experience: Relevant bioinformatics experience with statistical software for transcriptome analysis