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sessions, and public seminars for project stakeholders Education and Experience: The successful candidate must possess: PhD awarded in the past 5 years in a related field such as urban planning, engineering
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in the physical/mathematical/computational sciences or engineering into postdoctoral work in the biological sciences. The Burroughs Wellcome Fund launched the Career Awards at the Scientific Interface
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to various undergraduate programs in Science and Engineering. Furthermore, the Department offers master’s and doctoral degrees in the field of Biomedical Physics with an option in Medical Physics accredited by
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Learning (SCSIL) is seeking a highly motivated Postdoctoral Researcher with training in computer science, artificial intelligence, biomedical engineering, or a closely related field to join an
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community. More information about the School of Graduate Studies is at: http://www.sgs.utoronto.ca/Pages/default.aspx Your opportunity: This is a unique opportunity for an administratively skilled
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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McGill University | North Peel Regional Municipality Kleinburg, Ontario | Canada | about 1 month ago
PhD in Anthropology, Sociology, Philosophy, Science and Technology Studies (STS), Health Humanities, Social Studies of Medicine, Public Health, or a closely related discipline. The PhD must be completed
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should hold a Ph.D. in Physics, Electrical Engineering, or a closely related field, with demonstrated expertise in experimental quantum science or engineering. A strong interest in interdisciplinary
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outside of McGill, literature reviews, involvement in bioimaging communities of practice. Attend regular lab meetings, attend relevant McGill University seminars, participate in International technology
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of the following would be considered an asset: LLM-based clinical decision support, rare disease diagnosis, or diagnostic reasoning systems. Retrieval-augmented generation, agentic AI workflows, prompt engineering