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Mathematical and numerical models of piezoelectric wave energy converters (MPhil or PhD scholarship)
into question 2 of the financial details section. About the scholarship This scholarship is funded by an Australian Research Council Discovery Project that aims to develop mathematical and numerical models
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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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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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2024 RTP round - IoT framework for real-time monitoring and control for reused water fit-for-purpose
dissolved solids. • Apply mathematical modelling techniques. • Develop an IoT framework enabling real-time data reporting and compliance tracking so that the water quality meets the required fit-for-purpose
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and predict slope stability, thereby supporting mining engineers and geotechnical professionals in making educated decisions about slope design, maintenance, and risk mitigation. Objective 1: Develop a
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the established theory, and apply the theory to a series of datasets consisting of configurations of individuals in space and time. The project will also develop and disseminate software to fit models and evaluate
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, computer science and sustainable mining practices. The ideal candidate will have a strong Python programming skills, and a background in electrical engineering, computer science, mathematics, data science or a
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). The University of Melbourne is the home institution for this project. View the SJTU-based partner project . This project will fully exploit available sensor data to develop novel data-driven optimization-based
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candidates will develop an in-depth knowledge of public health policy and practice in target areas. Depending on the project, the candidates will work closely with academics, public health and community
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on the application of in situ Lu–Hf and Rb-Sr analysis of minerals to date mineralising or metamorphic events is available. In this project we seek to further develop QQQ reaction cell mass spectrometry with the aim