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top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses on addressing social
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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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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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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
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PhD Project – Supervised and knowledge-guided machine learning approaches for quantifying and identifying microorganisms in water and wastewater treatment Job No.: 648559 Location: Clayton campus
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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in implementing feasible blockchain-based solutions to support trustworthy machine learning. An opportunity for two talented students to undertake their PhDs on two projects that concentrate
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: Murdoch University Duration of Award: 3 years Level of study: Research Study Area: Engineering Eligibility How to Apply Eligibility We seek a highly motivated PhD candidate with strong machine learning
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in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality papers on deep learning theory, machine
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Location: School of Computer and Mathematical Sciences, University of Adelaide Employment Type: Full-time, 2 x Levels B or C Duration: Continuing Remuneration: Level B ($107,276–$126,894) or Level C