471 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UCL" positions at McGill University in Canada
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: The RA will support the development and operationalization of the SGI Office of Sustainable Africa by conducting stakeholder mapping, coordinating cross-sector engagement strategies, and contributing
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presentation track record. Strong, independent programming skills that can be used to develop innovative biomechanics research. Qualifications: Experience using Vicon and IMU systems for data collection
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or @mcgill.ca email accounts when you apply. GEOG 384 Principles of Geospatial Web Key Responsibilities • Grading of assignments and quizzes • Assistance with assignments Qualifications • Basic web development
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and CTB platform staff to develop study timelines, workflows, and deliverables, • Prepare project schedules and monitor progress against timelines, providing updates to stakeholders, • Ensure resource
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Responsibilities: 1. Specimen Care & Preparation Prepare and maintain preservation solutions for cadaveric specimens. Ensure proper covering, labeling, and identification of cadavers at all times. Prepare embalming
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OneDrive, etc.) Prepare team meetings, drafting of minutes and follow-ups Provide logistical support for events Manage office access cards Other Qualifying Skills and/or Abilities: High School Diploma with
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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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or all of the following as applicable: Citizenship & Immigration Canada, Immigration Quebec and Employment & Social Development Canada (ESDC). Before applying, please note that to work at McGill University
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: Data collection, climate change impact assessment, ML/DL model development, and scenario development for streamflow forecasting. Qualifications: M.Sc. Eng; coding for streamflow forecasting models. Before
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in the field of Statistics. The position, open as of August 1st, 2026, is targeted towards candidates with demonstrated expertise in the development of modern statistical theory and methods, or closely