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variational inequalities. The newly developed algorithms will be applied to large-scale optimisation problems arising in federated learning. The PhD student will work under the supervision of Dr Minh N. Dao
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Overview Join us to make a difference! A highly competitive scholarship to develop new statistical machine learning and data-driven methods to battle social disadvantage in NSW. You will work with
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on leveraging machine learning and generative AI techniques for proactive mental health monitoring. The project comprises three primary research packages that address distinct aspects of the overall goal
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To address this limitation, this project aims to develop an innovative fatigue damage model that incorporates detailed defect characteristics using machine learning and multiscale modeling. High
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We are seeking applicants interested in communication design, digital learning design and youth arts to undertake a PhD that exploring online frameworks for capturing learning experiences in youth
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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machine learning to identify meteorites in aerial imagery, with great success, and recovered multiple meteorites using a UAV. This project will build on this success, by extending the drone approach to new
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on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer-aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published