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the last 5 years or soon to be completed. Demonstrated experience in building machine learning/deep learning models using one or more large scientific data sets involving sequence, protein structures
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. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
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Position Details Position Information Position Title Postdoctoral Fellow Posting Number PTAP2765P Department/Unit Medicine Location Saint John, New Brunswick, Canada Job Summary & Key
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PostDoctoral Research Fellow and PHD positions - Global Pediatric Digital Health (Child Health, Epidemiology, data science, and/or digital health) SUMMARY We are seeking applications for a 2
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evaluation. We are looking for an individual with a desire to embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and
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participating in the collaborative development of: (1) spatially explicit baseline data of cropping practices, including identification of representative crop rotations, and (2) spatially explicit baseline
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(external link) . About the Urban Analytics Institute The Urban Analytics Institute assists partners with research and in implementing smart technologies, including big data analytics, deep learning, and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
Position Details Position Information Position Title Postdoctoral Fellow in Digital Twin for Ocean Industries Posting Number PTAP2374P Department/Unit Industrial Engineering Location Halifax, Nova
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Analytics Institute The Urban Analytics Institute assists partners with research and in implementing smart technologies, including big data analytics, deep learning, and artificial intelligence. The Institute
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nitrogen module in the Global Change Analysis Model (GCAM). The McGill-based postdoctoral researcher will have a particular focus on synthesizing and harmonizing existing subnational data (including through