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Field
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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multilevel and interaction-based approaches; experience with MAIHDA is an asset. · Strong data management, statistical interpretation, and visualization skills. · Ability to translate research
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., video, audio, artifacts). Experience in using qualitative data analysis software. Experience in creating interactive design prototypes and data visualizations. Experience in machine learning or generative
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methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses
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premier source for data and information on the science and engineering enterprise? Do you want to learn from top researchers and subject matter experts in data analysis, statistics, economics, science
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California State University, San Bernardino | San Bernardino, California | United States | about 6 hours ago
advanced AI/LLM technologies. The ideal student will have basic experience in the following: programming skills, AI/LLM models, and data analysis and visualization. Responsibilities include but not limited
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methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses
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attributes: Strong proficiency in quantitative research and data analysis tools (e.g., SPSS, R, Excel). Knowledge of qualitative software like NVivo is a plus. Experience or foundational knowledge in
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qualitative data organization, file management, and preparation of research materials for analysis. Create graphics, visualizations, figures, and other research dissemination materials for conference
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Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with the team. Collaborating within an interdisciplinary team, including potential teaching or