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Field
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quantitative and qualitative data, and contributing to intervention delivery and monitoring. You will work closely with academic and clinical collaborators and help build effective relationships with a range of
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the experiences and perspectives of singers and choral communities. They will contribute to the design and delivery of interviews, the analysis of qualitative and quantitative data, and the development of practice
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research focused on chronic lung disease and supportive care. This Research Assistant position will support a range of clinical research activities, including quantitative and qualitative data collection
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the new approach by designing, conducting and analysing original survey research. This will involve connecting with the projects qualitative work, for instance; focus groups and cognitive interviewing
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Sciences, Business, or a related field, and have at least two year’s post-qualification experience. They should also have competency in qualitative and quantitative data analysis; strong proficiency in
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and single-cell omics as well as next generation sequencing studies. Application of qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation, and
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the new approach by designing, conducting and analysing original survey research. This will involve connecting with the projects qualitative work, for instance; focus groups and cognitive interviewing
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of the qualitative work package, research inclusion, stakeholder engagement and routes to impact. You will be responsible for: Co-lead the COC and GP job satisfaction project with Dr Emma McManus, contributing
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competency in qualitative and quantitative data analysis; strong proficiency in written and spoken English and Cantonese. Knowledge and experience in conducting research in social welfare and private sectors
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/Protein isolation and analysis, histology, immunofluorescence/ immunohistochemistry, microscopy and quantitative and qualitative image analyses. -Strong organizational, analytical, communication, scientific