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to new tools, methods, and subject areas; - Have experience working with digital trace data, survey data, or other quantitative and qualitative research methods; - Have working knowledge of Python, R
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conform to the expected result of the indicator. Creates proof of concept scientific workflows and documentation examples. Provides expertise in R and python coding to facilitate data analysis and workflow
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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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with programming in Python are assets, but not required. The Research Assistant will be responsible for all aspects of the research process, including Acquiring cognitive, behavioural, wearable and
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Adhere to all lab safety practices and department policies. Qualifications: Master's degree in robotics, specifically semantic SLAM for mill-yard environments. Proficiency with ROS2, IsaacSim, Python
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. Programming in R and/or Python Expertise in statistical methods including linear mixed effects regressions and multivariate statistical analyses Presenting work at international conferences Mentoring students
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and discuss scientific literature Collaborate with group members in analysis and interpretation Qualifications: Requires strong python programming and communication skills Experience and education: BSc
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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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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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Proficiency in Microsoft Office and experience with statistical software (R, STATA, SAS, or Python). Strong organizational, communication, and time management skills. Ability to work independently and