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of Management in Analytics (MMA) is in search of multiple tutors for various courses across the program. Required skills in either or both of the streams below (specify which stream in your application
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considered. Experience in working with the Unix/Linux environment. Proficient with Python, R, or other coding languages. Experience handling NGS data including quality control/quality assurance. Knowledge
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of more than one computer operating system (Linux, Mac, Windows) is an asset. Knowledge of statistical software packages (e.g. R, Stata, SAS) is an asset Knowledge of programming software (e.g. Python) is an
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and species important for food security. Other Qualifying Skills and/or Abilities Conception of a data to model workflow, linking multiple sources of biological and ecological information across scales
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for model accuracy across multiple scenarios, including safety and risk assessment, and performance with real-world simulations. Ensure compliance of all LLM model architecture with ethics, privacy, and data
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for model accuracy across multiple scenarios, including safety and risk assessment, and performance with real-world simulations. Ensure compliance of all LLM model architecture with ethics, privacy, and data
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skills, including experience with large datasets, statistical modeling, and computational tools (e.g., Python, MATLAB, R). Excellent communication and collaboration abilities with the ability to present
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completion to deadlines. Develop scripts and data processing pipelines using R or Python, leveraging advanced expertise for data processing, model development, and data visualization. Work with senior staff
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-oriented programming in C++ or Python. Knowledge of robot calibration and accuracy improvement techniques. Behavioural Competencies Research - Communication (Level 3) Research - Creative thinking (Level 2
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general programming languages, such as R or Python, leveraging advanced expertise for data processing and visualization. Demonstrate proficiency with simulation model development and parameterization