16 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Aix Marseille Université " research jobs in New Zealand
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, please visit us: https://www.canterbury.ac.nz/joinus/benefits/ . For more information about Te Whare Wānanga o Waitaha | University of Canterbury, please visit https://www.canterbury.ac.nz/ The closing
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, influencing social policy and community development. Collaborative Environment - Work within Te Kotahi Research Institute, a multidisciplinary hub that connects scholars nationally and internationally
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their communities, empowered to act for good and determined to make a difference in the world. What we Offer We offer a range of benefits. For more information, please visit us: https://www.canterbury.ac.nz/joinus
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competitive salary Professional development opportunities A unique working environment in a beautiful campus with access to UC facilities such as the recreation centre and Staff club at discounted rates plus
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competitive salary Professional development opportunities A unique working environment in a beautiful campus with access to UC facilities such as the recreation centre and Staff club at discounted rates plus
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working arrangements Supportive working environment Generous annual leave provisions and competitive salary Professional development opportunities A unique working environment in a beautiful campus with
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Assistant position works to carry out practical laboratory work while contributing to the development, conduct and dissemination of research projects that relate to molecular biomarkers in surgical cancers
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Honeybees and Advance Biotechnology. We seek a highly motivated individual with a research background in Microbial Genetics and or Molecular Evolution. In this role you will undertake research to examine a
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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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Postdoctoral Researcher to lead the development of near real-time predictive models of vegetation fuel moisture using a combination of field data and satellite imagery from Sentinel-2 and Landsat (HLS