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process natural language problem descriptions and translate them into executable code. This research seeks to streamline workflows across diverse domains, from software engineering to data engineering
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the nature of their photoexcitations, can be tailored by employing external stimuli such as local fields. In this IRTG, you will be part of an international and diverse team working on both, organic and
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independent and collaborative research, developing expertise that enhances decision-making frameworks and optimises reconciliation processes in real-world business settings. The project will be
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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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holder You must meet the following criteria: meet Monash's competitive scholarship selection process requirements ; and meet Monash English language proficiency requirements; and have had their academic
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, decision-making processes, and even democratic institutions. Large language models (LLMs) have shown tremendous potential in natural language understanding and generation. This research aims to harness
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This project will develop general cutting edge generative AI and natural language processing methods to advance AI-augmented human-in-the-loop coaching and associated training planning and outcome
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and multimodal applications. Required knowledge Candidates are expected to have a solid background in machine learning and Natural Language Processing. Research experience in multimodal research is
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knowledge program analysis, fuzzing, software testing, natural language processing
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. This is a challenging problem as it spans a wide range of topic and contextual domains. Moreover, such language processing must deal with slang, foreign words and passages, localised dialects, unpredictably