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Field
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: Ph.D. in Geography, Geology, Oceanography, Coastal Engineering, Earth Science, Computer Science, or a closely related field Strong programming skills in Python (preferred), Matlab, or R Demonstrated
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statistical software (preferably R, others acceptable). Experience with computational modeling (e.g., reinforcement learning, planning). Proven writing abilities through publications Excellent verbal
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. Proficiency in statistical analysis (R, SAS, etc.) and GIS software (ArcMap). Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook). SALARY: Approx. $4,791.67 Monthly (Approx. $57,500
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related quantitative field. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication
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to have strong data analytic and programming skills in Python and/or R, as well as proficiency in Unix/Linux system. Review of applications will begin immediately and will continue until the position is
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat
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-resilient crops like tomatoes. Proven record of research productivity with publications in peer-reviewed journals. Proficiency with statistical analysis tools (e.g., SAS, R, XLstat, Multivariate analysis
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, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling *An interest in mixed-methods approaches, including also
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proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Proficiency in R or Python is greatly appreciated. Researcher must have the ability to work
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longitudinal data management and analysis Experience with research on adolescents and/or families Familiarity with Qualtrics, REDCap, R, Python, and/or other data collection and analytic tools Preferred