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largely uses traditionally approaches when it comes to laboratory work and synthesis of materials, also here the advent of automation, robotics and machine learning is bringing tremendous change
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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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physical attributes will support and improve the mapping of seagrasses. · Develop machine learning models and object-based image processing algorithms to differentiate and identify seagrass habitat
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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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& Software Systems. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence, Search and Recommendation, Human-Computer Interaction, Data
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criteria A PhD in machine learning, statistical data science, statistics or a related discipline. Demonstrated ability to conduct outstanding research in statistical data science as evidenced by independent
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of optimisation solvers and proficiency in machine learning algorithms and their practical implementation in Python. In addition, to be appointed at Level B you will need: A completed PhD (preferably conferred
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of optimisation solvers and proficiency in machine learning algorithms and their practical implementation in Python. In addition, to be appointed at Level B you will need: A completed PhD (preferably conferred
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Recommendation Human-Computer Interaction Artificial Intelligence and Natural Language Processing Data Science, Machine Learning, and Big Data Analysis Cybersecurity Distributed Computing Software Engineering
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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