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. Machine learning has been found to introduce and perpetuate discriminatory practices by unintentionally encoding existing human biases and introducing new ones. In this project, we will develop automated
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The use of AI in law enforcement and judicial domains requires consideration of a number of ethical issues. This project will investigate and develop frameworks that embed ethical principles in
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as “range anxiety” are amongst the top barriers to the wide adoption of EVs. This project aims to develop a paradigm for data-driven modelling of EV behavours, optimisation for EV charging station
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Discovery Project, this research aims to develop highly novel physics-informed deep learning methods for Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) and applications in image
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This practice-based research involves further development of the AirSticks, a hardware/software package which allows the triggering and manipulation of sound and visuals in a 3D playing space, as a
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developing ‘digital feedback literacy’ among learners, understanding how technology shapes feedback pedagogy, and exploring areas where learning and teaching in the digital age can be supported by technology
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This project will investigate and develop the ways in which AI algorithms and practices can be made transparent and explainable for use in law enforcement and judicial applications The Faculty
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placements and simulated placements. To date, our team of practice educators have worked with occupational therapy students to facilitate their learning and development within aged care facilities
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to a maximum of four years. An invitation to apply for a place in Monash Minds, a leadership program for first-year students. Recipients may be asked to participate or be profiled in relevant Monash
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techniques. It may also include hardware development of wearable assistive devices that use audio and haptic feedback. Required knowledge Image processing Computer vision Deep learning Programming (Python, C