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commitments to applied research that influence policy, practice, and health. The position available involves conducting data analyses for a project that focuses on understanding health disparities among migrant
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 11 hours ago
Position Details Position Information Position Title Postdoctoral Fellow Posting Number PTAP2901P Department/Unit Planning Location Halifax, Nova Scotia, Canada Job Summary & Key Responsibilities Dr
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Cover letter outlining specific examples of experience and research interests Review of applications will begin on July 23, 2025. This advertisement as well as further information about the School is
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of fermented and non-fermented dairy on bone health, body composition, and gut health. The RCT engages young adults for two years and requires in-person data collection at 3 time points over the study. The
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matter theory, particle physics, quantum fields & strings, quantum gravity, quantum foundations, quantum information, mathematical physics and cosmology. The Fields Institute supports research in pure and
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the time of the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single
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flexibility as visa process may take longer than expected. Please visit here for more information. Purpose To provide research space and an environment conducive to writing and reflection to scholars working
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, mechanistic mathematical and computational models of cytomegalovirus (CMV) infection. The models will be calibrated to and validated against experimental and clinical data to study the patterns of infection and
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry
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the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single-cell omics datasets