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. This position is funded in part by the Arthur B. McDonald Canadian Astroparticle Physics Research Institute. Qualifications: Background in experimental nuclear or particle physics or in the field of ion
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/Judgement Work may involve simple techniques and methods requiring knowledge and/or procedures that are readily acquired and used generally in repetitive or simple applications, requiring little judgment
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publication record. Demonstrated experience analyzing other Canadian public transport projects. Proficiency in discrete choice and behavioral statistical modelling using R. Proficiency in microsimulation and
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. Experience in health services research, knowledge translation, health policy, survey methods, mixed methods research, or stakeholder engagement would be considered an asset. The successful candidate will
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McGill University | North Peel Regional Municipality Kleinburg, Ontario | Canada | about 1 month ago
using qualitative, ethnographic, interpretive, historical, philosophical, or mixed-methods approaches. Excellent written and oral communication skills, including the ability to communicate complex ideas
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: Develop advanced bioimaging methods and apply them to study the molecular mechanisms that paxillin and its binding partners use to regulate cell migration. Will learn cell biology, advanced microscopy
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to: Design and execute independent research projects applying Mendelian randomization, GWAS, fine-mapping, colocalization, polygenic scoring, and multi-trait / multi-ancestry methods to biobank-scale human
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, including the application of advanced statistical methods such as survival analysis and longitudinal data analysis. Proficiency in statistical programming and data management using software such as SAS, R
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acquire a baseline understanding of the Bliss language and how it works. Experience with AAC devices and access methods. Knowledge of Unicode and working with fonts. Opportunities and Environment Candidates
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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