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systems and data acquisition using LabView and Python. Condition of employment Reliability Status For a Reliability Status, verification of background information over a period of 5 years is required
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approved, McGill University. Please provide you Work Study Letter with your application. Education/Experience: Expertise in coding in Matlab, Python or other computational languages as well as with neural
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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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(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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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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analysis (e.g., Python/Matlab). Ability to mentor trainees effectively; strong communication and teamwork. Experience and Education PhD, Physics Minimum 5 years of hands-on research experience, including 3
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to maintaining high data quality standards Problem‑solving skills and adaptability to dynamic project needs and field conditions Proficiency with data analysis tools (e.g., R, Python) are considered an asset
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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, Engineering, Health Informatics, Data Science, or a related discipline. Strong, demonstrated proficiency in Python for data engineering or software development applications. Demonstrated ability to act as a
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to apply Python-based processing tools to analyze brain imaging and simulated time-series data. The incumbent ensures that data is processed accurately and that the resulting codebases are organized