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project, including proposal drafting, project design, data collection, data analysis, reporting, and dissemination. They will serve as relationship managers for a variety of research partners and funders
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of quantitative analyses (including statistical analysis). Demonstrated proficiency with SAS, Stata, or R for data analysis and statistical programming.. Demonstrated proficiency with data visualization (such as R
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Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses
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University of California Office of the President | Oakland, California | United States | 14 days ago
Management, Organizational Development, or related certifications/advanced training Experience with financial systems (e.g., Oracle) and data visualization/analysis tools (e.g., Tableau) Bachelor's degree in
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support multiple funded and developing research projects, including analyses of existing data from studies of abnormal visual perception in people with schizophrenia and those at elevated risk, as well as a
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understand the role that data plays in solving policy and organizational issues. Proficiency in data visualization and statistical analysis tools Ability to locate, synthesize, and apply current research and
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Computer Applications: Version control (e.g., Git); data management tools; basic image processing/segmentation tools as used in the lab, R studio; 3D visualization/modeling software as applicable Preferred
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of extracellular vesicles Experience in handling medical/clinical samples Experience in protein and RNA analysis Experience in data analysis and data visualization Experience in COMSOL and Python programming We
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data, including the following: Assist with combining data sets from multiple experiments and perform analysis of those experiments using standard excel functions and other software. Enter results from
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, training, and/or working with an electronic lab notebook system. Basic knowledge of open-source software and programming languages to extract, organize and clean data, tools to visualize and share findings