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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 316 Course Title: Signals and Networks Course Credits: 3 credits Location: ENGTR 0070 Schedule: Tuesday and Thursday
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Position in Applications of Artificial Intelligence in Engineering, Department of Electrical and Computer Engineering, McGill University The Department of Electrical and Computer Engineering at McGill
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: The Computational and Data Systems Institute (CDSI) aims to connect, complement, and amplify the rich ecosystem of McGill investments at the nexus where computing, data, and systems meet – particularly around AI and
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university where day to day duties may require English communication both verbally and in writing. Additional Information: Fall/Winter: Monday to Friday 8h00 – 16h15 Summer: Monday to Friday 7h30-15h45 Hourly
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university where day to day duties may require English communication both verbally and in writing Additional Information: Fall/Winter: Monday to Friday 8h00 – 16h15 Summer: Monday to Friday 7h30-15h45 Hourly
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, accounts receivable, and other accounting activities. They use computerized information systems to perform the data entry required to update accounts and files, and they verify and correct transmitted data
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: Desautels Faculty of Management Position Summary: Providing support to Students and Professors as well as maintenance of Faculty computer labs. Other Qualifying Skills and/or Abilities • Providing support in
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in Prof. Reza Salavati's lab, at Macdonald Campus, McGill University. Position Summary: The postdoc will contribute to the D2R (Data-to-Reality) applied research program aimed at developing novel data
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of documentation. Prepares schedules, reports and financial statements. Makes recommendations on budget allocations. Supplies information and documentation to auditors. Maintains computerized information systems and
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: The research assistant 1 will be responsible for developing detailed data analysis plans, data preparation (linkage between data sources, clean up, operationalization of intermediary and outcome measures, and