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cleaning, statistical analysis, and computational modeling. Other duties may include assistance in the preparation of research documents and reports. The student will use Stata and Matlab to assist
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network connectivity. Implement machine learning models to detect patterns in large datasets and assist in predictive modeling. Develop and maintain custom scripts in Python or MATLAB to automate data
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and implementation. Sensor networking through wireless, cellular or Wi-Fi connectivity. Data analytics and programming skills (e.g., MATLAB, C++, Python). Solid understanding of analog, digital, and
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computational and modeling software used in this course, we also briefly describe other programming environments such as R, Matlab and C/C++ used in financial engineering. Practical aspects of financial and risk
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skills (e.g., MATLAB, C++, Python). Experience with electronic circuits, PCB design, and associated CAD tools. Qualifications: 3rd year or 4th year students in Computer Engineering, Electrical Engineering
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or more of the following backend languages: Java, C#, JavaScript (NodeJS), Golang. Data analytics and programming skills (e.g., MATLAB, C++, Python). Working knowledge or familiarity with the following will
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basic scripting in Image J, Matlab and Python - Excellent attention to detail and record keeping - Excellent time and project management skills Before applying, please note that to work at McGill
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preparing, setting, and marking midterms and final report Logistics for assignments (recording grades, returning assignments) Qualifications Knowledge of ODE and preferably some knowledge of matlab. Student
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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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REDCap Basic level of computer programming in any language, interest in learning more (e.g., MATLAB) Proficiency with computer programs, including Microsoft Office, Adobe Acrobat, etc. Experience with