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, infer arbitrarily closely to any model underlying data. We endeavour to do the following: Apply MML to test datasets (degenerate motifs of 6-12 base pairs and with 1 to 2 variable nucleotides) Apply MML
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Cybersecurity is an interdisciplinary field. There is an urgent need to build up talent in human factors in cybersecurity. This PhD will provide the candidate with a unique pathway into industry
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This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
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Current federated learning architectures in mobile healthcare are limited to a centralised model without considering the full continuum of mobile-edge-cloud. Additionally, to support different data
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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This project will result in a much fuller understanding of the state of the Birrarung than is currently possible, as well as qualitative and quantitative results to model different interventions and
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is highly complex. For the proposed PhD project, experimental data are already available that bring together maps of orientations of such crystals together with the deformation pattern generated during
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language models (LLMs) to address these challenges by developing a comprehensive framework that seamlessly integrates LLM capabilities for generating accurate and optimised code, constructing complex SQL
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developing drug and vaccine treatments. Modern AI techniques can provide powerful models for classifying and understanding protein structures, but expert supervision is required in the development, training
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Monash’s ambitious research agenda and educational excellence. You will focus on intellectual property, research and development, and the higher-education regulatory space. This position will be responsible