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presentation and proven ability to write to the standard required for international publications commensurate with career stage. Experience of using data analysis packages such as SPSS, STATA or MPlus. Proven
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22 Jul 2026 Job Information Organisation/Company Centre for European Policy Studies Department GRID Research Field Economics » Economic policy Political sciences » Public policy Juridical sciences
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disease genetics, and large-scale genomic data analysis. Analyze genomic datasets from population biobanks, sequencing studies, psychiatric genetics studies, and other large-scale human genetics resources
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
and data analysis software preferred). Ability to exercise tact, discretion and confidentiality. Ability to contribute to a respectful, cooperative and supportive work environment. Ability to work both
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studies, and how information about benefits, harms, and uncertainty is communicated to clinicians, patients, and payers. We welcome applications from recent PhD graduates and postdoctoral fellows who
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, and other project-related activities as required. Job Requirements: PhD qualification in Human-Computer Interaction, Cognitive Science, Human Factors, Air Traffic Management, Transport, or other related
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Lived Experience Advisory Group Analysis and reporting of findings For this role, you will need to be on site 2 days a week. Although we can accommodate working from home for this role, flexibility to be
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for the development of survey instruments and experimental designs, including sampling strategies, questionnaire development, piloting, and quality assurance Providing intellectual leadership in data analysis
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, Computer Science, or related field. Strong programming skills in Python, R, or equivalent, with experience in data analysis, statistics, and machine learning. Experience with multiomic datasets, including RNA
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include: Flow cytometry assessment of immune cell responses to stimulation. Design and optimisation of flow cytometry panels and analysis and interpretation of resulting data. Integration of flow cytometry