95 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Otago in New Zealand
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Kaiārahi – Māori Student Outreach and Transition Programme Coordinator-2501907 __________ TE ARA HAUORA MĀORI HEALTH WORKFORCE DEVELOPMENT UNIT (MHWDU) DIVISION OF HEALTH SCIENCES | TE WĀHANGA MATUA
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such as Health Sciences or Commerce, or across Service Divisions like Human Resources or Property and Campus Development. For more information about the university divisions please visit: https
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found here: https://www.otago.ac.nz/humanresources/working-at-otago/employee-benefits/ For further information, or to discuss the role in confidence, please contact Professor William Levack via
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who successfully make the final stages of the recruitment process will be required to undergo a safety check. For further information on the safety check process please visit: http://www.otago.ac.nz
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to undergo a safety check. For further information on the safety check process please visit: Protection of Children. http://www.otago.ac.nz/administration/vulnerable-children/ For further information
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New Zealand to administer the programme, over a ten week period. In 2026, the programme will commence with a one week training programme in Wellington (20-24 July), followed by nine weeks of school
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the scenes at the University, working across projects such as large-scale construction, space reutilisation, innovative digital and technology initiatives and other organisation change activities. No day is
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for Graduates (DipGrad), Postgraduate Diploma of Science (PGDipSci), Postgraduate Diploma in Applied Science (PGDipAppSc GIS), Master of Surveying (MSurv), Master of Science (MSc), Master of Applied Science
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mathematics, geophysical fluid dynamics, and polar/environmental science, supported by excellent high-performance computing facilities. The Department of Mathematics and Statistics, in particular, is a vibrant
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groups with Māori stakeholders as part of a Community Participatory Research study exploring the feasibility of AI technology for monitoring fall risk among older adults. Key responsibilities include