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. Essential requirements Executive Leadership & Change Management : Demonstrated success leading large complex organisations through transformation and adapting to evolving environments. Research
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options About UNSW UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. Together, we are driven to be
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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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fermentation performance and cell physiology (including ‘omics measurements such as protein and metabolite measurements), and a LEARN capability, that seeks to use these large data sets to learn how to alter
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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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% Super and leave loading (level 7) Location: Kensington, NSW About UNSW: UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much
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pursuing novel ideas and solutions to scientific research problems. Demonstrated experience in scientific programming, data visualisation and working with large datasets that cover large spatial and temporal
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Apply now Job no:536446 Work type:Full Time Location:Sydney, NSW Categories:Information Technology, Analyst, Healthcare Data Scientist Employment Type: Full - time (35 hours a week) Duration: 18
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working with large datasets, including spatial information, hydrologic data and survey records. Skills and Experience To be considered for this position, you will have: completed a PhD or equivalent