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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
function of these cell envelopes for several bacterial species. The most powerful models have several parameters set from experimental observations, in this case data gathered through the use of electron
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PhD Opportunity - Indigenous (Energy) Job No.: 685291 Faculty / Portfolio: Faculty of Information Technology Location: Caulfield or Clayton campuses Duration: 3.5-year fixed-term appointment
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modelling who has: a PhD in power and energy systems, process systems engineering, industrial decarbonisation, energy economics, or a related discipline demonstrated expertise in energy systems modelling
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modelling outcomes. Monitor performance of modelling procedures and platforms and continuously improve methods. Investigate and apply innovative methods for simulation data analysis and visualisation. Manage
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for shaping and leading UNSW’s enterprise data management function, setting strategy, frameworks, and operating models to treat data as a trusted institutional asset. The role provides leadership across
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of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate/Fellow in energy systems modelling who has: a PhD in power and energy systems, process systems engineering
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in a data warehousing or modelling scenario. Question 4 What do you understand metadata to be and why is it important to manage it. View position description Federation University is committed
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an enterprise-wide analytics service spanning business intelligence, reporting, advanced analytics, and AI/ML, underpinned by modern platforms, data models, and self-service capabilities. Ensure analytics outputs
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Job Reference: 1091942About the Role We are seeking an experienced and motivated Senior Data Engineer to help drive our data and analytics capability forward. This is your chance to step into a
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In the big-data era, the proliferation of data and the widespread adoption of data analytics have made data literacy a requisite skill for all professions, not just specialist data scientists