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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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Qualifications Experience with hyperspectral data acquisition and analysis, including Python-based workflows. Familiarity with machine learning, data integration, and advanced visualization tools for exploration
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data analysis tools (e.g., R, Python), information management, and basic web or visual communication tools is an asset. Interest in sustainability, environmental research, and interdisciplinary
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in conducting in-depth analyses using different teaching-related datasets through programming languages (e.g., R, Python, Matlab, etc.) to derive patterns and trends for evaluation and educational
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. Applicants must be familiar with the course content (please consult the eCalendar) Some experience with Python coding Knowledge of statistics and/or data science is an advantage roficiency in English is
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ability to work with internal and external stakeholders. High level of proficiency with MS Office Suite (Word, Excel, Access, Outlook), Windows. Knowledge of Linux/ Python would be an asset. As one
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modeling, data analysis, or remote sensing. Experience with numerical modeling tools (e.g., WRF, CESM) and programming languages such as Python, MATLAB, or Fortran. Familiarity with observational techniques
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. Analytical Instrumentation: Expertise in material characterization (XRD, SEM, EDX, UV-Vis spectroscopy) and electronic testing (Source Measure Units). Data Analysis & Design: Skills in Python, MATLAB
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testing (Source Measure Units). Data Analysis & Design: Skills in Python, MATLAB, or LabVIEW for data acquisition, alongside familiarity with optical simulation or CAD software. Required Qualifications
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Python, MATLAB, or LabVIEW for data acquisition, alongside familiarity with optical simulation or CAD software. Required Qualifications Educational Requirements: A Ph.D. in Chemical Engineering, Materials