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: Using big data insights to optimise the manufacturing process The second phase of this project will focus on processing and utilising machine-learning techniques to analyse large volumes of data from
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analysis, design and implementation of information systems and continuous improvement initiatives within large organisations. You will possess excellent communication skills and problem-solving abilities
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opportunities for experienced users. About you Previous experience working with large data sources and complex data in the higher education sector. Extensive experience in Adobe Analytics, including tagging and
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to resource planning, priority setting, and decision-making across the Faculty Partnerships function, and maximising the application of insights from data, market-specific knowledge, consultation, benchmarking
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Health to work on a large multi-organisation project called Development of a Soil Health Framework for Australian agricultural production systems which is funded by the Grains Research & Development
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. About you (skills, capabilities and experience) You are an accomplished technology executive with extensive experience leading enterprise application, data, integration or AI portfolios in large and
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the application of analytic techniques to longitudinal or large mental health data sets or biobanks a strong applied research orientation with a proven ability to build successful working relationships with a
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process, from planning and implementation to completion. The Clinical Platform of the Snow Vision Accelerator will perform a large longitudinal observational study as well as future interventional studies
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external research funding strategy and operations manages the Business School’s Researcher Development Program communicate research information, events and achievements within the Business School and provide
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processes within a tertiary environment. superior computer skills, experience with Microsoft Office (in particular Excel) together with experience operating with large, corporate-level database and