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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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. This position will involve the development of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose
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engineering capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia. To be successful you will need: 1. A completed or nearly completed PhD in
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of optimization solvers and Proficiency in machine learning algorithms and their practical implementation in Python would enhance the qualifications. Stipend: The scholarship will be for 3.5 years and has a stipend
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considered, but it will further be required that they also have a strong interest in operations and supply chain management background. Knowledge of optimization solvers and Proficiency in machine learning
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Proficiency in machine learning algorithms and their practical implementation in Python would enhance the qualifications. Stipend: The scholarship will be for 3.5 years and has a stipend of $34,210 (2024 rate
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sustainability challenges on Earth. To be successful you will need: 1. A completed or nearly completed PhD in Plant Sciences, Development, Molecular Biology, Plant Biochemistry or related subject. 2
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-imagine plant design and bio-resource production to support long-term habitation in Space and solve sustainability challenges on Earth. To be successful you will need: A completed or nearly completed PhD in
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of $50,000 p.a | No tuition fees (conditions apply) Access paid annual, parental and personal leave Project 1: The aim of this PhD project is to develop novel machine learning algorithms and adaptive
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strengths of the University through the Australian Institute for Machine Learning (AIML) and other partners in South Australia. For the candidate, this will include the following opportunities: State