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, Kanban), object-oriented analysis, design, and programming (e.g. UML, Java), and web technologies (e.g. HTML, CSS, JavaScript, React, backend frameworks) a Master's degree in a relevant discipline or a
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engagement with our learning systems. As a Data Scientist, you will use predictive analytics and data analysis to improve the ACE models, refine the process, and provide valuable insights to drive
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view of online engagement with the University's learning systems. As a Senior Data Scientist, you will use predictive analytics and data analysis to improve the ACE models, refine the process, and
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similar role, preferably in tertiary education environment and hold a Bachelor's Degree (NZQA Level 7), as well as have: High competence with database management, quantitative analysis and reporting
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composites, soldering, and basic workshop techniques such as drilling, filing, and tapping. Metal trade-based skill (Fabrication) Experience with the operation of Computer Numerically Controlled (CNC
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key projects, curriculum planning, academic operations, and programme reviews. You'll bring your skills in data analysis, reporting, and stakeholder engagement to streamline processes, provide
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their effectiveness Excellent organisational, analytical, report writing, and communication skills Proficiency in data analysis, audit tools, and project management software An alignment with our organisation's values
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for a postdoctoral fellow in neutrino astrophysics. We are seeking a highly motivated individual with a strong passion for modelling of astrophysical phenomena and data analysis to join our team. Āu Mahi
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quantitative and data analysis skills A publication track record as well as experience with preparation and delivery of quality oral presentations to a wide range of audiences is essential A proven ability to
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this position you will ideally have the following: Doctoral Degree or equivalent (NZQA Level 10) or working towards competition Strong research background Strong quantitative and data analysis skills A