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This postdoctoral research role supports the MBIE-funded programme Predicting the Unseen, focused on developing innovative methods for accurate yield estimation in viticulture. Based in the Centre for Viticulture and
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skills and the ability to translate complex data needs into scalable solutions a relevant tertiary qualification in Computer Science, Data Science, or an equivalent discipline (NZQA Level 7 or above). Mahi
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in mathematics, statistics, computing or biology. Applicants with a strong quantitative (particularly applied statistics) or computer programming background, combined with marine biology will be
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New Zealand Application Deadline 26 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Te Wānanga Aronui o Tāmaki Makau Rau | Auckland University of Technology (AUT) Department of Mechanical Engineering | School of Engineering, Computer and Mathematical Sciences Te Whiwhinga mahi
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About the scholarship Application status: Not currently open for applications Applicable study: First year of full-time study for an undergraduate degree programme Opening date: Closing date: By
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The role | Te mahi In this role, supporting the Faculty of Medicine’s International Electives Programme you are the go-to person for a wide range of administration tasks including handling correspondence
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strengths to the team. You will be inquisitive and get satisfaction from tackling challenges and problem solving and engage in ongoing learning and investigation. You will have demonstrable computer skills
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Zealand Application Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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are valued and respected. Specific enquiries about these positions may be directed to Associate Professor Susan Moffat, Bachelor of Oral Health programme convenor, via the contact details below. Application