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A graduate student (MSc or PhD) is wanted as part of a large, collaborative research project evaluating flood, fire and increasing temperature risks posed to upper Fraser watershed salmon stocks in
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engineering, resource economics and policy, statistics, or a closely related discipline. Preference will be given to applicants currently enrolled in a PhD or Master’s program in the Johnson Shoyama Graduate
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following screening criteria in order to be given further consideration as candidates: Education PhD from a recognized university specializing in Computer Science, Machine Learning, Statistics, or Applied
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interpreting experiment results or research data, including assembly, compilation and summary of statistical and other data, as requested by the director supervisor(s) or PI. Processes blood sample, including
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(Python, R), good communication skills, and basic knowledge of brain imaging. This position is covered by the AMURE collective agreement: https://www.mcgill.ca/hr/files/hr/2023
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the ongoing and future research projects are related to mindfulness and outcomes in: parents; early childhood; relationship dynamics; dance and movement-based mindfulness; and digital health. http
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discipline. A PhD in Neuroscience preferred. Hands on experience directly related to laboratory and research management. Extensive hands-on experience with molecular, cellular, and animal-based molecular and
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funding agency guidelines. Creates and maintains spreadsheets for tracking various projects (competition results, research funding statistics). Provides support to researchers preparing research grant
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interpreting experiment results or research data, including assembly, compilation and summary of statistical and other data, as requested by the director supervisor(s) or PI. Processes blood sample, including
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, single-cell genomics, next-generation sequencing, and 10x Genomics experience. · Experience in immunocytochemistry and basic data analysis in R or similar statistics package would be an asset