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(RS) Proficiency in the software packages ArcGIS Pro and ENVI Good communication skills Other Qualifying Skills and/or Abilities Knowledge of R, Python and/or SQL, and the use of LLM prompts Before
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. Strong coding skills in Python or a comparable programming language are expected, with the ability to develop analysis pipelines and tools that meet project deadlines and are suitable for publication
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) Qualifications Knowledge of python or matlab Basic statistical knowledge, e.g., linear regression, Fourier analysis, statistical significance, etc. Before applying, please note that to work at McGill University
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, AWS Glue, Talend, etc.). Proficiency in SQL, Python, and/or other programming languages commonly used in data engineering as well as data transformation tools (e.g. DBT). Solid understanding of database
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implementation of new virtualization, storage and backup systems; Scripting to automate routine tasks preferably using Python and/or Powershell. Familiarity with: Management of Enterprise solutions including
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issues. Provides supervision and mentorship to trainees and staff. Teach trainees how to use basic Python and R coding to perform beginner – intermediate level analyses. Present research findings to others
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combination of education and experience. Proven experience with data analysis, visualization tools (e.g., Python, R, Tableau), and working with healthcare datasets. Strong communication skills with the ability
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selection-mass spectrometry or a similar technique, mass spectrometry for characterizing chemical mixtures or proteomic samples, and programming in Python or C. The ideal candidate should have experiences
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students and/or in running instructional labs is an asset. Knowledge of software tools relevant to our First Year Engineering program, such as MATLAB, Canvas, Crowdmark, Mobius, Python, MS Office, and
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, Python and QGIS) at an intermediate level is preferred. Comfortable with learning new software and interested in developing data management skills.