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Status: Opening Applications open: 1/07/2024 Applications close: 20/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Deep learning has
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to frailty assessment could be beneficial. Manual measurements from CT scans, however, are labor-intensive and subject to observer variability. The advent of deep learning in medical imaging presents a
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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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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed
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of current robotics research largely revolves around integrating machine learning techniques. One promising solution is end-to-end deep reinforcement learning (DRL), which learns a policy directly mapping
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knowledge and/or experience are highly preferred: 1. Computer Vision, Vibration Signal Processing, Machine Learning/Deep Learning knowledge and/or; Experience Industry knowledge and/or; A track record of
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The project will develop new deep learning methods to improve machine vision comprising several sensors in collaboration with industry partners 4AI Systems and 4Tel Pty Ltd. In this project we will
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. The candidate will collaborate with a multidisciplinary team of researchers and contribute to the advancement of knowledge in this area. Qualifications Master's degree in machine learning Knowledge of deep
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the tuition fee scholarship and Single Overseas Health Cover (OSHC) for the successful international awardee. The Opportunity A full PhD Scholarship is currently available for research into deep learning
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature