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Summer Student: Geospatial Deep Learning for Forestry Applications Based in Rotorua Approximate dates: 1 December 2025 - 20 February 2026 As part of the Government's reset of the science, innovation
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. The programme involves a student completing a 12-week, full-time, research project under the direction of Scion and AgResearch supervisors (allowing time for holidays over the Christmas and New Year). Students
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hosts a number of summer students, each with differing specialities, from tertiary institutes across New Zealand at both our Rotorua and Christchurch Campus. The programme involves a student completing a
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number of summer students, each with differing specialities, from tertiary institutes across New Zealand at both our Rotorua and Christchurch Campus. The programme involves a student completing a 12-week
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Campus. The programme involves a student completing a 12-week, full-time, research project under the direction of Scion supervisors (allowing time for holidays over the Christmas and New Year). Students
-
summer students, each with differing specialities, from tertiary institutes across New Zealand at both our Rotorua and Christchurch Campus. The programme involves a student completing a 12-week, full-time
-
hosts a number of summer students, each with differing specialities, from tertiary institutes across New Zealand at both our Rotorua and Christchurch Campus. The programme involves a student completing a
-
specialities, from tertiary institutes across New Zealand at both our Rotorua and Christchurch Campus. The programme involves a student completing a 12-week, full-time, research project under the direction
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Responsibilities Provide administration support to the Campus and Facilities Team including compliance and legislative administration. Support the team with all Health and Safety programs, plans and documentation
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commitment to Good Employer/ EEO principles If this sounds like an opportunity you would like to explore, then we are keen to hear from you! Applications close: 10 June 2025. Please submit your application as