109 parallel-computing-numerical-methods research jobs at McGill University in Canada
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: Department of Atmospheric and Oceanic Sciences Position Summary: Conducting and executing research Numerical modeling and data analysis in atmospheric sciences Participating in both modeling and observation
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monitoring efforts globally. BON in a Box is an open source community-contributed program to analyze biodiversity data and produce information that can be used in policy decisions. Communicates and
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Research Assistant 2 position is based in Prof. Benoit Boulet’s research lab in the department of Electrical and Computer Engineering. Job Summary The Research Assistant 2 will support research activities in
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of Computer Science - Prof. Jackie Cheung's Lab Job description Help implement and conduct NLP evaluation methods Conduct human annotation experiments and write REB ethics approval Conduct literature survey Collaborate
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qualitative research methods Prior experience working in a research lab Basic grasp of computer science (COMP 202, COMP 250) Before applying, please note that to work at McGill University, you must be both
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to new tools, methods, and subject areas; - Have experience working with digital trace data, survey data, or other quantitative and qualitative research methods; - Have working knowledge of Python, R
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: The Research Assistant 2 assists the Research Supervisor in conducting research projects. This mixed-methods study examines how the Cultural Safety Report has influenced individual research practices and
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qualitative and quantitative methods to analyze collected data and identify key findings. Prepare detailed reports summarizing research findings, analyses, and recommendations. Collect data through surveys
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(in both the Departments of Physics and in Computer and Electrical Engineering) and partners worldwide, leveraging industry-standard tools and technologies to ensure the quality and reliability
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biostatistics and epidemiology Expertise in quasi-experimental, econometric methods and other advanced methods (e.g., longitudinal data analysis, trial emulation, interrupted time series, machine learning