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decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more efficient and reliable
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Conservation Biology, or equivalent degree Preferred Education: Ph.D. in Ecology and Conservation Biology, Preferred Experience: Experience with R programming, statistical analysis of coastal datasets
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, including proficiency with statistical software (e.g., SAS, R, or any other statistical software). -Demonstrated ability to manage and analyze large datasets. Application Instructions Applicants should submit
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and work cooperatively with others. Preferred Special Knowledge, Abilities and Skills: - Experience in programming languages such as Python, R, Stata, SAS, SPSS. - Strong command of large dataset
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in genomics, genetics, and statistical analyses. Experience with transcriptomic and epigenomic data analysis. Proficiency in programming languages, such as R and Python, for data analysis and
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in transcriptomics, and basic molecular techniques such as DNA/RNA isolation, PCR and qPCR and statistical analysis using R or python based packages would be preferred. The position is available
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(GAM) and statistical and geospatial software (R, ArcGIS, QGIS) is strongly preferred. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate’s
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with grant writing Excellent data analysis skills in R. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate’s qualifications. Position Funding
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, R, XLstat, Multivariate analysis). Proficiency in Microsoft Office (Excel, Word, Outlook). Willingness to work evening and weekend hours as required. Preferred Knowledge, Skills, and Abilities
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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