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The Australian Institute for Machine Learning (AIML) offers new supplementary scholarship opportunities for Master's students in Machine Learning. These scholarships support students undertaking
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research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data
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computer science disciplines (for example, economics, statistics, mathematics, predictive analytics, and machine learning) and are generally part of multidisciplinary project teams. The roles and
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in Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis
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in Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis
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Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is, with a Rule-Based component and a Machine Learning component. The work to be
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within a Research Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is with a Rule-Based component and a Machine Learning
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within a Research Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is, with a Rule-Based component and a Machine Learning
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offering solutions to complex problems and creating new possibilities. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future
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learning and computer vision processes to the workers expertise. In this context, the objective of this project is to develop and evaluate AR applications to be used in the context of a natural cork