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. The scientifically and technically challenging project will be carried out with a team of industry researchers to facilitate rapid development in technology readiness and real-world testing. Applicants should have an
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research project to test a novel approach to the hemodynamic management of newly injured patients with SCI. In addition, there is an opportunity to be involved in leading other clinical cardiovascular
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research project to test a novel approach to the hemodynamic management of newly injured patients with SCI. In addition, there is an opportunity to be involved in leading other clinical cardiovascular
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, chronoamperometry, half-cell measurements); iv) be able to analyze and interpret experimental data using various data analysis software (e.g., Excel, Python and Origin); vi) develop new testing procedures and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 11 hours ago
microscopy; tensile testing; and, a newly installed solution- and solid-state 600 MHz NMR spectrometer). Excellent Dalhousie-based protein biophysics (https://bit.ly/3AvBEpt ), electron microscopy, NMR
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research analyses • Participating in study design, quality assurance testing, documenting coding methods, and interpreting results; • Act as lead research manager of projects. Extended stay and travel
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Expertise and hands-on experience in animal studies, including all aspects of design, handling, breeding, tissue collection, histology, and analyses are essential Familiarity with testing/characterization
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disease Expertise and hands-on experience in animal studies, including all aspects of design, handling, breeding, tissue collection, histology, and analyses are essential Familiarity with testing
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description of the research you are pursuing. Essay responses are evaluated in addition to application materials to determine an overall recommendation. Research should align with Google AI Principles
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, modelling missing data for IPDMA, estimating sample parameters from incompletely reported data, and using optimal test assembly methods to create short-form measure; and (3) meta-research on bias from data