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the integration, analysis, and interpretation of datasets. This role is part of a broader vision to spearhead data integration and analysis of a growing multi-‘omic dataset designed to study healthy aging
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spearhead data integration and analysis of a growing multi-‘omic dataset designed to study healthy aging, Parkinson’s Disease, and other age-related conditions. ORGANIZATIONAL STATUS The CMMI is a large
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regarding the collection and analysis of data collected in Global Control of HPV Related Diseases Research Program. Housed within the Faculty of Medicine, the School of Population and Public Health (SPPH) is
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 20 hours ago
Position Details Position Information Position Title Donald Hill Family Postdoctoral Fellowship in the Faculty of Arts and Social Sciences Posting Number PTAP3271P Department/Unit Arts - Dean's
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
of surveys and interviews, engagement of non-academic partners, and organizing meetings. Perform qualitative data analysis, including preparing datasets, coding, and contributing to the development of thematic
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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, including study design, participant recruitment, data collection and analysis, or integrating research directly into care. Innovative Care Model Implementations: collaborating with healthcare providers
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Department: Global Affairs Canada - Centre of China Policy Research and Coherence - OPR Location: Ottawa, Ontario Value: $98,299 to $128,799 For further information on the organization, please visit
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). The candidate will be working on developing state-of-the-art methodology in clinical prediction modeling, including novel uncertainty assessment method (Value of Information analysis), as well as Machine Learning
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geological, mineralogical and hydrogeological information about copper ore deposits, and create conceptual models of ore-bodies, fluid flow and reactive transport. Familiarity with ore-body geology: Porphyry