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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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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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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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: Work on the project to build a statistical model that predicts stability of a given heteroaromatic silicon-fluoride acceptor to survive in the body Scientific writing Mentoring graduate students
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Position Summary: Conduct phase-field modelling of microstructure evolution in two-phase ferritic steel in partnership with Hydro-Québec. Qualifications: PhD in Physics or related field Before applying
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shaping justice access? Systemic and structural issues: How do funding models and institutional practices affect the delivery of bilingual legal services? What are the structural causes of linguistic
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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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skills and expertise are necessary. In addition, depending on interest and experience, the postdoctoral researcher will also have to opportunity to conduct studies in cell and animal models. Working in a
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novel molecular mechanisms associated with trauma which may reflect clinicopathology and/or serve as potential biomarkers. This position will involve studies using human brain tissue, mouse models, and