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Accessibility notice: If you cannot access the following content, contact the online services helpdesk by email at webapp@nserc-crsng.gc.ca or by telephone at 1-855-275-2861. Indicate the email
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process, and evaluation criteria are available at Future Forests Fellowship website .
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 29 days ago
Location Halifax, Nova Scotia, Canada Job Summary & Key Responsibilities Background: In a wider context of increased autonomy and digitalization in the maritime transportation industries, there is a prospect
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are required to indicate how they will account for sex (biological factor) and gender (socio-cultural factor) in the research design, methods, analysis and interpretation, and dissemination of findings. For more
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, conference papers, and journal articles. Support Health Canada and ethics submission processes. Why Join Us? Contribute to a high-impact innovation in cardiac surgery and robotic systems. Work within a vibrant
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project goals. Qualifications Ph.D. in mathematics with knowledge of differential equations, elliptic and/or parabolic partial differential equations, fixed point theories, and mathematical biology. Possess
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, although we welcome applications from fellows who have secured funding prior to applying. APPLICATION PROCEDURE An application package should include: A letter of application outlining the applicant’s
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 12 hours ago
of questionnaires and interviews. Assist with grant writing, including drafting proposals, identifying funding opportunities, and supporting the submission process. Lead or contribute to systematic reviews and meta
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
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of antibodies/ADCs and small molecules. We are addressing combinatorial target identification with CRISPR functional genomics and chemical biology for targeting hard to treat cancers. The Aparicio Lab has a long