15 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" research jobs in New Zealand
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of the research team, by contributing to multiple research projects, including writing for ethics applications, developing data collection tools, recruitment of participants into studies, managing
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: • Co-facilitating focus groups with Māori older adults, healthcare professionals, and members of community organisations (e.g. ACC, Aged Concern). • Collating and reporting quantitative data
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spatial data analysis with knowledge of New Zealand’s vegetation and landscape ecology complemented by skills in data science, computational science, statistics, or maths keen to develop new leading-edge
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an interdisciplinary collaboration with national and international collaborators. The position involves experimental design, laboratory research and data analysis. The ability to work independently and as part of a team
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. • Compiling a database of policies relating to doctoral assessment. • Setting up, organising, and conducting interviews with key stakeholders. • Analysing qualitative interview data. • Assisting with
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level on either the Research Fellow or Senior Research Fellow scale, based on skills and experience. You must have the right to live and work in New Zealand to apply for this role. For further information
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to build a comprehensive understanding of ethnicity and gender pay gaps and their development over time, using HR data from a large New Zealand employer (ours), so that appropriate remedies can be identified
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with an inspiring and diversified research environment that offers invaluable opportunities to encounter and exchange ideas and information with other up-and-coming colleagues from different disciplines
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and ethics in dealing with clinical information for patients involved in research studies. • Enthusiasm for learning new skills and an ability to work across a variety of tasks. Further details
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of this element. You will have completed a PhD in Biology or a closely related subject. To be successful in this role you will have excellent communication skills and written English, strong quantitative and data