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data visualization; knowledge of databases and SQL are strong assets. Experience with Tableau is valuable in this position. Experience using statistical analysis and programming software (R/Python/STATA
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automation (ie,, Python, PowerShell, etc.) Ability to read and interpret technical documentation, schematics, and configuration guides Strong troubleshooting and diagnostic skills across physical and logical
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, optimization, and maintenance. Expertise with web application development using Python/Flask, along with modern JavaScript frameworks and front-end technologies. Experience with non-relational or distributed
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(eg. Word processing, Excel, citation/reference management software, programming skills in R or Python are considered an asset). A graduate degree in fire ecology, forestry, environmental sciences
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statistical analysis. Familiarity with Agile/Scrum, version control (Git, Azure DevOps), and BI testing frameworks. Experience with Power BI REST API, PowerShell, or Python to automate deployment, metadata
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-stack software development, particularly in scientific or high-tech environments with significant research and development. Proficiency in Python and their scientific packages (e.g. NumPy, SciPy, Pandas
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(e.g., SolidWorks, AutoCAD) and printer operation. Proficiency in coding languages such as MATLAB, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and
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proficiency in Python, APIs,and common AI/ML frameworks such as PyTorch, TensorFlow, HuggingFace, and LangChain. Experience supporting cloud-agnostic AI/ML platforms (training, deployment, MLOps) leveraging
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Ability to exercise sound judgement, critical thinking, and decision making Proficient in R and Python for analysis and modeling, with experience in SQL for data extraction Comfortable navigating ambiguity
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science with a focus on computation, or IT specialist with experience in a research environment. Extensive experience with the Linux Operating Systems. Mastering of scripting languages like Python and Bash