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When designing user interfaces, developers want to be able to position objects in a structured way such that controls are clear and neat. In the past, absolute positioning and grids have been used
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biodiversity and sustainability research. The initial objective is to use deep learning techniques to perform acoustic species identification in real-time on low-cost sensing devices coupled to cloud-based
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Indigenous applicants are strongly encouraged to apply. Ideally the applicants will have an excellent academic track record and/or experience in IT or health IT. Knowledge and skills relating to any
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to detect anomalies in evolving data. Some of them consider scenarios where streaming objects with one or multiple features have causal/non-causal relationships with each other which can be represented as
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and communication skills in healthcare. You will use sensor-technology to capture multimodal ‘trace’ data including gestures, speech, workspace spatial layout and manual handling of objects. You will
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will work as part of a larger research team on this project which includes multiple industry partners. The objective of the Actionable Data project is to develop and prove a reusable framework for
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will contribute to the objectives of the Australian Research Council-funded DECRA project Recordkeeping for Empowerment of Marginalised Communities led by Dr Viviane Hessami, which aims to enable more
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to be communicated through explanatory visualisations? How can these visualisations and their use be evaluated (e.g. using eye-tracking devices, think-aloud and other sources of evidence)? What
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multi-objective optimisation, (3) optimisation and user interaction, (4) optimisation in the context of knowledge compilation (e.g. computing smallest representations of AI and ML systems), (5) problems
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systems. This societal datafication by LE agencies is amplified by the volumes, speed, and reach of AI-facilitated analysis and decision-making. While their objectives may be sound, such practices expose