156 evolution "https:" "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" research jobs in Canada
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-directed therapies, antimicrobial drug development, and wastewater surveillance. Under the guidance of the Principal Investigator, the successful candidate will carry out research projects in accordance with
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sites, is the largest in the country providing high-quality emergency training. The Department of Emergency Medicine has also played a leadership role in the development and implementation of the BC
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consumers in the development of research questions and/or design as appropriate. Productive engagement of consumers in the conduct, analysis and/or dissemination of the research should be described, where
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to provincial and global leadership in ethical digital health innovation. Key Responsibilities The postdoctoral fellow will: Lead development and validation of NLP models using real-world clinical communication
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for Advanced Medical Simulation. Engage in a research project divided into subprojects including a literature review, development of study methods and materials, data collection, and data analysis. Collaborate
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development. Coordinates the workflow peer-review process to ensure the code/models are reliable and generalizable and the documentation is up to standards. Engages (and consults) with partners and contributors
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: Department of Physics Position Summary: Development of a comprehensive phase field modelling platform for the quantitative examination of microstructure evolution and properties in two-phase Ferritie Steel and
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, agroecology) on biodiversity in Quebec. Supports the development and adaptation of indicators to evaluate biodiversity impacts, including the use of Essential Biodiversity Variables (EBVs) and other ecological
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contributing to meaningful work that supports rural and agricultural communities. Among other tasks, the candidate will: Assist with the development of communications and knowledge translation resources Create
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lead projects, including the design and development of: Machine learning tools (radiomics, neural networks) to improve head and neck reconstruction outcomes. Virtual reality applications for patient