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On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices, such as face recognition
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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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. 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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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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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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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
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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...