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and curiosity-driven working culture. Research activities are carried out in research groups organised into three multidisciplinary research programmes. For further information please visit https
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experience in pharmacy practice. Hands-on experience with some combination of the following: Programming and conducting computational and statistical analyses on large administrative claims data, electronic
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Project 2: Experience working with large datasets and machine learning Reasonable proficiency in any coding language used in data science Mixed-methods research experience Online Application Required
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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, epidemiologists, qualitative researchers, pharmacists, Aboriginal health practitioners, consumer representatives). As part of a large NHMRC study, the successful candidate will work with the project coordinators
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. Current projects focus on a variety of topics in education policy, including teacher workforce, school finance, school choice programs, and career and technical education. Responsibilities include data
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 6 hours ago
skills applicable to geometry handling, variance reduction, data analysis, and radiation physics. Your main work tasks will be Radiation safety simulations for beamlines and accelerators. Design of
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a data infrastructure to study the connection between environment, genes, and mental health. It will gather and organize large collections of data on people's health, environment, and genetic
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, and presentation skills (outreach) are helpful. Familiarity with process tracing and big data is a plus. Knowledge of linear models, analysis of variance, and data visualization strongly preferred
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data analysis (quantitative and qualitative); oversee data collection and management; liaise with community parties and institutions; facilitate the collection of big data; work closely with academic and