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literacy with excellent skills in Microsoft Office applications and databases, in particular in Microsoft Excel. Preferably, strong analytical skills and familiarity with data analysis tools (e.g. R, Python
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the Python programming language is an absolute requirement Experience with global vegetation models, satellite products (L3 or L4), and/or machine learning applied to spatially explicit data would be an asset
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coding using tools such as Python, SQL, and HTML. Generates system queries and reports under the direction of senior members, determining among appropriate fields and values to use to meet report
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personal style willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming
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research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python) Strong written and verbal communication skills in English *for
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using digital learning tools such as R, Python, Stata or Matlab, and has strong data skills. Holds, or will soon complete, a doctorate in a relevant discipline. Desirable qualities include experience
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such as R, SAS, ArcGIS, SQL, Python and AI tools. Conducts geospatial and epidemiologic analyses relevant to the catchment area to assess cancer outcomes, spatial patterns, temporal trends, and disparities
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Artifact Repository: Artifactory Network: SSH, SCP, FTP, HTTP(S), TCP/IP, STIG compliance, firewall/iptables setup. Scripting: Bash, Perl, Powershell, YAML, Python Operating System: LINUX (Redhat, Ubuntu