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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 8 hours ago
part of their research program in another field. 2. An interest in open source instrumentation development (software and/or hardware). 3. Proficiency in programming (C, C++, Java or python). 4
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methods is an asset Knowledge of Bayesian statistics is an asset Excellent written and oral communication skills Strong analytical, problem-solving, and programming skills (in statistical software such as R
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University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing. Annual
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by the AMURE collective agreement" http://www.aerum-amure.ca/wp-content/uploads/2023/07/AMURE-POSTDOCS-2020-2026.pdf McGill University is an English-language university where most teaching and research
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configurations) Design and set up experimental apparatus (including optical diagnostics) Plan, coordinate, and conduct experimental campaigns Process and analyze data Write conference and journal articles Present
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: Conduct a systematic bolted flange research program. Experimental data on bolted joints and engine test data will be collected and analytical models will be developed for model verification and validation
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on the findings, ranked priorities, input from the provincial committee, and leading evidence in website design and online engagement. Altogether, these findings will inform the creation of a strategic plan for
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efforts to model nitrous oxide emissions reduction. Qualifying skills: We seek a candidate with experience working with quantitative and/or spatial data, including familiarity with programming environments
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Humanities Research Council of Canada)-funded research projects: “Explaining sound change through mapping the distribution of phonetic biases and automatic speech analysis” (PI: Morgan Sonderegger) and
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sciences, data science, mathematics or a related field - Strong quantitative skills, including data analysis, statistical modeling and data management - Proficiency in R and/or Python programming - A proven