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of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML makes an implicit overarching assumption that severely limits its applicability
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addition, a position at this level will normally require a record of demonstrable scholarly and professional achievement in the relevant discipline area. About Monash University At Monash , work feels
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Visualisation research; there are so many interesting experimental research questions to address that researchers seldom wish to repeat work that they (or others) have already completed and published. This PhD
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training, opportunities for professional growth, and a supportive environment to advance your career. To apply If this sounds like a position that suits your current career focus we look forward to hearing
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We live and work in a world of complex relationships between data, systems, knowledge, people, documents, biology, software, society, politics, commerce and so on. We can model these relationships
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Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in many scenarios, including security, privacy, and health
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academic rigour meets practical relevance. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things
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knowledge that positively impacts the world. Monash University’s research support services in Animal Ethics support research activities in biomedical research, pharmaceutical sciences, and ecology and
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support conversation can be well combined with the desired emotion and voice patterns for generating natural and empathetic speech. However, current deep generative models perform poorly for compositional
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, collaborative community Be surrounded by extraordinary ideas - and the people who discover them About Monash University At Monash, work feels different. There’s a sense of belonging and purpose – a place where