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Network Engineer Data and Digital Rotorua, New Zealand Vacancy number: 61204 Employment Type: Permanent Full-Time Hours: 40 hours Be Part of Science That Makes a Difference As a Network Engineer
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role, the minimum qualifications required are: Currently enrolled in, or recently completed, an undergraduate degree in computer science, software engineering, information systems, data science
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Digital Support Analyst Data and Digital Location: Rotorua, New Zealand Vacancy number: 61206 Employment Type: Fixed Term Fulltime (40 Hours) Be Part of Science That Makes a Difference As a Digital
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review of the literature and assist with planning prototype development and testing activities. Analyse experimental data and contribute insights to support the development of innovative digital
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development of terminal crook disease in radiata pine. Working alongside experienced researchers, you will gain hands-on experience in plant pathology, disease monitoring, laboratory research, and data
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experimental data and contribute to project reporting and presentations. Maintain accurate laboratory records and assist with data management. Learn from experienced researchers in a collaborative
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61482 Summer Internship - Biological Sciences, Atmospheric Science, Chemistry or Engineering - Scion
& surveillance strategies. One of the pieces of equipment that will allow us to gather data to build such models is a Fast Response Continuous Gas Analyser . What you will be doing | Ngā whāinga matua
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trials, sample collection, and testing activities Collect, analyse, and interpret experimental data relating to biomass properties and process performance Interpret and summarise results and contribute to
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61291 Summer Student Intern – Forestry, Plant Science, Microbiology or Environmental Science - Scion
radiata pine seedlings under controlled experimental conditions. Assess disease severity and plant growth, accurately recording experimental observations and data. Work with researchers to analyse disease
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planning and developing experimental approaches. Collect, analyse, and interpret data relating to product performance, physical properties, and manufacturing processes. Prepare reports and presentations