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data, such as temporal dependencies and lack of rich semantic make it challenging to leverage these models directly for time series tasks. Building upon our exisiting research [1], our objective is to
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-class degree with a strong research track record and publication history in relevant areas. Demonstrable experience in conducting independent research project in deep learning, computer vision, image
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objectives and industry needs. Contribute to high-quality research outputs, with an expectation to publish in relevant academic venues. The ideal candidate will have: A strong background in mathematical
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Average Mark (70%) Applicants must have: achieved a track record of academic excellence and a commitment to academic success in their Science degree the ability to succeed in the face of adversity and to
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, achievement, and contribution to organisations and/or their community(s). Demonstrate a track record and passion for a future career in finance, banking and/or economics. To retain this scholarship: You must
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the power of LLMs to develop advanced computational methods for the detection and mitigation of misinformation and disinformation. More specific objectives are: To investigate the effectiveness of large
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pathways to entry. Submit an Expression of Interest EOI’s shall comprise: A cover letter that includes a brief statement of the applicant’s suitability and research objectives. A curriculum vitae, including
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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them
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groups and the longevity and sustainability of recordkeeping practices. This PhD project will contribute to the objectives of the Australian Research Council-funded DECRA project Recordkeeping
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. This will be achieved through frequency domain and time domain state and parameter estimation techniques to infer model states and parameters in real time to simultaneously track the anaesthetic brain states