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Field
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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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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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. 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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: Expertise in EEG, brain stimulation, or data science methods Track record of conference presentations and peer-reviewed publications Strong verbal and written communication skills Proficiency in R, Matlab
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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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or gene editing by CRISPR-Cas9 is required. Experience with flow cytometry and/or mass cytometry analysis is desirable. Interest in learning new technologies is mandatory. Basic R programming skills
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team