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, the BCCSU develops evidence-based training curricula, program standards, and practice guidelines while networking regional health authorities, researchers, educators, and care providers and other allied care
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the acquired data, and prepare a report; c) Prepare a CFD model of a boiler burner for combustion analysis, apply reacting flow models, perform computation, study propensity to flash-back, calculate noise
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, StrokeCog can leverage CANTRAIN’s online tools, learning-management systems, training programs and its college of mentors. Applicants apply to the StrokeCog fellowship program through the CANTRAIN portal
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the uptake of evidence-informed policy and reinforce the importance of policy-relevant research. By partnering with CIHR on this fellowship program, Michael Smith Health Research BC can support PhD trainees as
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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance computing (HPC) environments
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that change! Qualifications The position requires a PhD degree in electrical, computer or biomedical engineering, computer science, or a closely related area. The successful candidate is expected to develop
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 24 days ago
Faculties of Engineering, Computer Science, and Science. The PDF will perform cutting-edge research to develop advanced Decision Support Systems (DSS) to support sustainable human uses of ocean spaces. This
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NSF Astronomy and Astrophysics Postdoctoral Fellowships provide an opportunity for highly qualified, recent doctoral scientists to carry out an integrated program of independent research and
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computing and/or high-performance computing (HPC) environments for bioinformatics workflows. The successful candidate must exhibit excellent communication skills; a demonstrated potential for excellence in
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pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance computing (HPC) environments