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related to host and/or bacterial genomics and/or transcriptomics analysis • Proficiency in R, Python, Bash scripting for bioinformatics analysis and data visualization • Experience with Unix/Linuc command
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technologies, network stack, complex storage systems (e.g., ZFS), database systems, and scripting/programming languages such as Python, Perl, Bash, Java, PowerShell, and PHP. Customer service experience
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financial tracking and reporting. · Intermediate computer skills required (e.g. MS Office and online applications). Knowledge of data programming tools (e.g. R, Python and QGIS) at an intermediate
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languages (e.g., R, Python, SQL). Experience in operating database applications and managing data systems. Experience with common visualization tools (e.g., Tableau, Power BI, RShiny, d3). Demonstrated
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, Overleaf, peer grading software, and websites. Ability to learn new software programs and learning technologies. Ability to identify and correct missing and incomplete data. Experience with Python (Pandas
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asset; Computer and data analysis skills (eg. Word processing, Excel, citation/reference management software, programming skills in R or Python are considered an asset); A graduate degree in fire ecology
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analysis. -Proficiency in programming and data analysis tools (e.g. R, Python, GIS…). -Experience in remote sensing data processing and analysis. - Fluency in verbal and written English - Excellent oral and
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written communication skills. Very good working knowledge of programming/scripting/markup languages such as Java, Groovy, Python, Perl, HTML, XML, JSON, etc. Strong working knowledge of SOAP/REST concepts