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Global Child Health, Epidemiology and/or Digital Health. The Trainee will conduct research in global health initiatives utilizing risk-based differentiated care to prevent pediatric mortality and morbidity
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
following areas (particularly in a Canadian context): maritime transportation, marine technology, human and organizational performance, area-based management, and risk analysis and modeling; has relevant
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, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and/or Python for data analysis, modeling, and spatial analysis is also desirable Excellent written and verbal communication
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
conducted doctoral research within the area of climate change modelling, GIS-based risk assessment, visualization, etc. The ideal candidate should also have several of the following characteristics: ▪ Strong
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to global health initiatives utilizing risk-based differentiated care to prevent pediatric mortality and morbidity, enabled through digital health technologies in Africa (Kenya, Uganda + more). The programs
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Postdoctoral Fellow with a keen interest in Global Child Health, Epidemiology and/or Digital Health. The Trainee will conduct research in global health initiatives utilizing risk-based differentiated care
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, and interpreting models, Analyzing genetics data (e.g. GWAS, eQTLs), including predicting variant effects, stratifying patients, identifying desired patients for recall, Designing, synthesizing, and
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of the following projects: The molecular regulation of insulin secretion. In particular, the characterization of new (unpublished) transgenic models to study SENP1 (e.g. PMID: 38184650) The development of novel
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, ON. Our hybrid work model is consistent with the Common hybrid work model for the Federal Public Service which requires Departments to establish a minimum attendance requirement of at least three (3) days
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, electrical engineering, applied mathematics, or a related field. Significant experience and publication on AI and image processing is a requirement. Experience with foundation models, explainable AI and/or