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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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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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bring: A PhD or equivalent qualification, with a distinguished record of leadership in teaching and learning at the tertiary level. An internationally recognised and sustained track record of impactful
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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PhD in in a relevant field would be an advantage. Deep understanding of the needs of a diverse student population, including students from equity backgrounds, and contemporary issues impacting equitable
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platform for detecting Ratoon Stunting Disease (RSD) in sugarcane using multispectral remote sensing and machine learning. The Research Officer will apply expertise in computer vision, deep learning, and
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collection. Learn laboratory procedures from the team and assist with laboratory assays What we’re looking for: Registered veterinarian, or appropriate overseas training to become registered as a veterinarian
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Project Background & Motivation Active learning (AL) mitigates the heavy annotation costs of deep learning by strategically querying the most informative unlabeled samples. However, traditional AL