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and have opportunities to participate in the FUTURES Hub and ETLab international research community. This position has a two-stage selection process: To apply for this position please submit
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is required. All eligible students will be automatically assessed. This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read the application
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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2024. Supporting documentation must be submitted by Thursday 5 December 2024. This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read
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design coordination, addressing inefficiencies that arise when diverse expertise (e.g. structural and mechanical engineering) intersects during the design process. This role involves developing
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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potential to facilitate the process of generating health-related advice without the need for predefined rules or training data. Yet, their reliability remains a serious concern. This project aims to first
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an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a
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ask.monash . Every scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline.
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scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details, visit our scholarships application