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. The Board has developed this new scholarship as they believe research and inquiry generate new knowledge and understandings about early learning and development that can profoundly influence practice
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what they are learning to a real world setting and gain experience in the public sector through working in a capital city council. The internship start date is negotiable, though it is anticipated
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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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offers an excellent opportunity for a chemistry graduate with a passion for applied research, a willingness to learn and apply radiochemistry skills, and an interest in contributing to environmental
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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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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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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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support Researcher Portal Adelaide Graduate Research School Research Technology Support Research institutes Environment Machine Learning Sustainability, Energy and Resources Photonics & Advanced Sensing
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support Researcher Portal Adelaide Graduate Research School Research Technology Support Research institutes Environment Machine Learning Sustainability, Energy and Resources Photonics & Advanced Sensing
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support Researcher Portal Adelaide Graduate Research School Research Technology Support Research institutes Environment Machine Learning Sustainability, Energy and Resources Photonics & Advanced Sensing