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experiments related to aerosol-cloud processes Analysis of data observation and modelling developed at McGill. Candidates must demonstrated experience in developing AI algorithms to significantly improve
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(e.g., SolidWorks, AutoCAD) and printer operation. Proficiency in coding languages such as MATLAB, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and
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prototypes. Signal Acquisition & Processing Develop acquisition pipelines to capture vascular motion during CPR. Implement signal‑processing algorithms to extract markers of blood flow. Model Development
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Drone and Flight Autonomy Lab. It will strengthen Canada’s ability to research, develop, test and validate advanced drone technologies. The Centre will be a national research and technology development
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may teach in either the Data Analytics or Integrated Artificial Intelligence post-diploma certificate programs. How you'll contribute Prepare and present lessons, assignments, quizzes, exams, activities
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), previously developed algorithms (e.g., converting all opioids dispensed to morphine milligram equivalents), and epidemiological and econometric methods (e.g., interrupted time series analysis, hierarchical
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: Algorithm Design Instructor: Robert Robere Course Number: COMP 360 Number of T.A. positions available (estimate): 8 Hours of work (per term): 90 Dates of Appointment: Starting: January 05, 2026 Ending: April
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Supervisor. Assist Professor in preparing, grading, and reviewing HW sets & other assignments, quizzes, exams. Prepare, conduct, and lead tutorials Reading course materials Communication with students
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qualitative and quantitative methods, processing and analyzing complex datasets, and contributing to the development of computational and machine learning approaches. You will ensure high standards of data
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, developing, and implementing innovative machine learning models and algorithms to drive insights from the hEDS*omics multimodal dataset, encompassing clinical, environmental, and multi-omics data. This role