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of the land on which we live, work and create The Inclusive Design Research Centre seeks a researcher/developer at the post-doctoral or PhD candidate level to join an interdisciplinary team co-designing and
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or machine learning Experience with Swift development and/or strong willingness to work within the Apple development ecosystem Experience in edge AI, model optimization, or deployment of AI models
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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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Employers and a Greater Toronto’s Top Employer for 2015, 2016, 2017 and 2018. To learn more about our work environment, colleagues, leaders, students and innovative educational environment, visit
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these discoveries to better understand the astrophysical origins and physical emission mechanisms of this enigmatic phenomenon. Qualifications: PhD in Physics Before applying, please note that to work at McGill
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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writing (a published article, unpublished paper or chapter); and 4) the names of three referees to provide letters upon request. Applicants who do not have a completed PhD at the time of application must
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students in the lab Qualifications: PhD in Chemistry/Physics Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province
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Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where