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integrates seamlessly with other data and compute infrastructure (such as HuggingFace, DataVerse); Contribute to the OpenML codebase and platform by making code more maintainable and reviewing community
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/research experience, language skills and other skills relevant for the position. A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written
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biological samples (mould air and surface sampling) across study residences conducting quantitative data analysis across multi-site time-series IEQ datasets, including clustering, regression, and statistical
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infrastructure (cluster and/or cloud). An interest in learning contemporary statistical methods. For all applicants: Strong written and oral communication skills. Strong skills in project management and time
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analytical, problem-solving, and communication skills. Ability to work independently as well as in multidisciplinary research teams. Interest in supervising Master's and PhD students, and in collaborating
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analytical, problem-solving, and communication skills. Ability to work independently as well as in multidisciplinary research teams. Interest in supervising Master's and PhD students, and in collaborating
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multi-site time-series IEQ datasets, including clustering, regression, and statistical modelling to identify environmental predictors of mould growth preparing scientific publications, conference
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of the ESA carbon science cluster: carbonscienceclusters.esa.int. Polar science and cryosphere research: with a focus on advancing our EO-based capacity to observe, understand and predict the onset and
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). The Yoshiji Lab
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-solving, and communication skills. Ability to work independently as well as in multidisciplinary research teams. Interest in supervising Master's and PhD students, and in collaborating on grant writing and