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analysis of Surveillance based IPD data ” (ZIKV-IPD-MA-2S) research project. Start date: January 15, 2026 - End date: January 14, 2027 Salary: The annual salary is $70,000 CAD. Location: McGill College 2001
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the facility. Evaluate new imaging technologies, software tools, and analysis pipelines, providing recommendations for facility upgrades or procedural improvements. 2. User Support & Training Support
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account...
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access. • Linguistic accessibility of government MAID webpages through qualitative and quantitative analysis. • Perceptions and experiences of families, service intermediaries, and other actors
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theory, string theory, particle phenomenology, astroparticle physics, mathematical physics, and cosmology. To apply, the applicant should submit a cover letter, a curriculum vitae, a list of publications
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) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http
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integrates advanced analytical tools and a biopsychosocial framework to explore how this complex problem unfolds across different sociocultural contexts. By leveraging both national and international
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therapeutic strategies to promote these beneficial immune states. Position Overview The Postdoctoral Fellow will lead multi-omic data generation, integration, and analysis to dissect immune–tumour interactions
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ability to work in a team Desirable Experience in bioinformatics analysis of single cell data (chromatin and RNA) Experience in myeloid cell development and ontogeny Application Process The following
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-country survey datasets for comparative analysis. Conceptualize and refine a theoretical framework integrating intersectionality and stigma processes. Develop and code a Bayesian meta-regression to pool and