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Field
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attributes: Strong proficiency in quantitative research and data analysis tools (e.g., SPSS, R, Excel). Knowledge of qualitative software like NVivo is a plus. Experience or foundational knowledge in
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qualitative data organization, file management, and preparation of research materials for analysis. Create graphics, visualizations, figures, and other research dissemination materials for conference
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Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with the team. Collaborating within an interdisciplinary team, including potential teaching or
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records and surveys, and maintains databases. Performs routine data analysis and prepares reports, data visualizations, and models. Essential Functions Conducts research assessments/procedures independently
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deadlines and work collaboratively in an interdisciplinary laboratory setting. Desired Qualifications: Experience with next-generation sequencing (NGS) data, microbiome composition analysis, or within-host
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applied research across Oxford, the UK and internationally. Working within this collaborative research environment, the successful candidate will support both laboratory and data analysis activities
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computational methods for single-cell and genomic data analysis, in collaboration with the lab’s methods-development efforts. • Develop and apply flow cytometry, molecular biology, and cell biology assays
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 13 minutes ago
support the research activities of all three projects in the UNITE program, including survey and assessment creation and implementation, data analysis and validation, usability testing, ethics applications
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analysis, report generation, data visualization, and helping manage team logistics and communications. Developing monitoring and evaluation tools for the collection, analysis, and dissemination of findings
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interdisciplinary research environment combining urban studies, architecture, data analysis, and spatial modeling. Responsibilities: Complete and refine interoperable datasets for selected cities using available data