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Empirical studies in Information Visualisation research have become more commonplace in the past two to three decades. While formerly the research focus was primarily on utilising the power of novel
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to create a model that, once trained on a broad and diverse set of time series data, can transfer knowledge effectively across tasks, enabling faster and more accurate insights without needing
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science, AI, software and cybersecurity, human-computer interactions, and nature-positive innovation Enjoy a supportive academic environment that values creativity, rigor, and societal relevance About
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. Working closely with the ABI program’s leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets. As
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PhD Scholarship – Modelling the social and political drivers of net zero transitions Job No.: 670767 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment
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Experience working with geospatial data Desirable technical requirements: Experience with the ISSM ice sheet model or other ice sheet models Experience with the UM and/or ACCESS-AM2 atmosphere model, or other
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Cécile Parrish Memorial Scholarship (2 Positions) Job No.: 683674 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful applicant
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Vice-President (Finance), +61 433 774 251 Position Description: Data Analyst, Finance Strategy and Transformation Applications Close: Thursday 14 August 2025, 11:55pm AEST Supporting a diverse workforce
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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful
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I am seeking PhD candidates interested in working on designing Learning Analytics innovations to study classroom proxemics by analysing and visualising indoor positioning data (along with other