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funded as an important part of an ARC funded project Tracking Islamophobia and its Impacts on Australian Muslims’ Lives (LP250100022), conducted by Dr Susan Carland, Professor Kerry O’Brien, Dr Zarina
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. Candidate Requirements The successful applicant will have an excellent academic track record in Linguistics, multimodal communication or a related discipline. Proven experience in video ethnographic methods
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an excellent academic track record in a relevant field (e.g., Languages, Linguistics, Education, or relevant Social Science discipline). In its assessment, the selection committee will prioritise
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PhD Scholarship This project will develop the next generation of intelligent robotic systems capable of autonomously manipulating small, soft and deformable objects in confined environments
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for Bayesian/statistical modelling with uncertainty analysis or programming skills in Python, MATLAB or equivalent and a background in hydraulic, kinetic or systems models. Also highly desirable to have
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national and international competitive funding. Candidate Requirements The successful applicant will have an excellent academic track record in Human Geography or cognate discipline within the social
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exoplanets, including numerous water world candidates. This project will focus on analysing JWST datasets to identify and characterise the atmospheric properties of water worlds. Key objectives Analyse JWST
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monitoring and bioelectronic medicine. The project builds on the lab's track record in flexible sensor arrays, field-effect-transistor biosensors, and functional nanomaterial interfaces, and will contribute
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their potential to host life, while also paving the way for climate simulations of more Earth-like planets that will be targeted by future observatories. Key objectives Develop atmospheric and climate models
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AI applications. Specifically, the project objectives are as follows: To develop a general-purpose EEG foundation model that learns unified representations of brain activity from large and diverse EEG