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to contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models. Working closely with leading researchers, you will design, develop, and implement
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Research Associate to join a cutting‑edge research program at the forefront of machine learning and agentic AI for sustainability. Embedded within the ARC Training Centre for Whole Life Design of Carbon
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analysis via Unity Catalog. Extensive experience developing ML/AI pipelines in Azure and Databricks, utilizing tools like OpenAI Studio, Azure Functions, and Azure Machine Learning. Proven ability
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opportunity for a Research Officer, Software Developer and Machine Learning Engineer to join our team at the College of Science and Engineering in the Academy Division. Full-time and fixed-term to 30 April
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. Scientific Contribution Our group has strong publication record of 100+ first or senior author top-tier (ERA ranking A*/A) journals and technical conferences in the machine learning and medical AI field. His
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
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This project aims to identify novel methods for inferring actors, activities, and other elements from short message communications. Covert communications are a specialist domain for analysis in the Law Enforcement (LE) context. In this project we aim to improve law enforcement’s understanding of...
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mechanical loading of such samples. The focus of the PhD project will be to use machine learning techniques to better understand the interplay between the crystal orientations and deformation patterns in a
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council
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With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth