739 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" positions in New Zealand
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, award or prize or complete an online application form. It is awarded on the recommendation of the relevant faculty or University of Auckland committee. For more information about the awarding process for
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form. It is awarded on the recommendation of the relevant faculty or University of Auckland committee. For more information about the awarding process for this scholarship, award or prize, download a
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or complete an online application form. It is awarded on the recommendation of the relevant faculty or University of Auckland committee. For more information about the awarding process for this scholarship
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of the relevant faculty or University of Auckland committee. For more information about the awarding process for this scholarship, award or prize, download a copy of the regulations. Help and support You can find
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or University of Auckland committee. For more information about the awarding process for this scholarship, award or prize, download a copy of the regulations. Help and support You can find answers to your
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children. An $8,000 Scholarship for a woman who is a New Zealand Citizen or Permanent Resident, and who is enrolled full-time in the penultimate year of a BSc or BSc conjoint degree in Computer Science, Data
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Systems Specialist-2600304 __________ DIGITAL SERVICES INFORMATION SYSTEMS Join New Zealand’s oldest university, the University of Otago, and contribute to the ongoing advancement of our digital
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international, interdisciplinary team on the project “The proof is in the pancake: connecting fundamental physics to data-driven detection of the emergent state of sea ice in the changing polar oceans”, funded
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will also assist with data management, data analysis, and preparation of research papers and client reports. Key responsibilities include: Collaborating with the Marine Ecosystems and Biosecurity team
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capability and strengthening organisational maturity • Partnering with Digital and cross University teams to deliver scalable, sustainable solutions • Enhancing data informed decision making and enabling