261 data "https:" "https:" "https:" "https:" "Central European University" research jobs in Canada
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the Research Assistant will contribute examines how linguistic minoritization—particularly among Francophones outside Quebec—affects access to initial information about medical assistance in dying (MAID) across
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indicator and EBV workflows to monitor biodiversity. Our mission is to make biodiversity data and insights readily available to all users, facilitating informed decision-making and conservation efforts
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of the Research Supervisor Support data collection, cleaning and preparation (e.g. survey data, administrative datasets) Participate in exploratory and descriptive data analysis using established protocols Conduct
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official information, regulations and procedures, visit the Banting website . To access the Vanier-Banting Academic CV template, visit the Canadian Common CV (CCV) site. Updated Thursday, July 3, 2025
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metrics. Applies analytical tools such as Life Cycle Assessment (LCA), spatial data (GIS), and/or environmental modeling to assess circular strategies. Collaborates with academic, governmental, and
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documentation. Independently performs sophisticated neurochemical analysis of brain microdialysis samples using HPLC using chromatography data systems and performs essential quality control checks (e.g., external
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adversarial neural networks for enhancement of low-resolution 3D images Analyze and interpret research data; disseminate results; and prepare research reports and manuscripts Qualifications: Master’s degree in
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School of Nursing Position Summary: Under the direction and supervision of Principal Investigator, the incumbent will be responsible for, but not limited to, the following: Support data entry and
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: Qualitative data organization, transcription, and analysis, including coding, thematic analysis, and synthesis of findings to support research objectives. Qualifications: Masters Degree required. Background in
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of Dr. Richard Lester, MD, FRCPC, the Postdoctoral Fellow will lead a research program titled: Advancing Patient-Centered AI: Validating NLP Models Using Clinical and Communication Data in British