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algorithms for resource-efficient hydroponics and evidence-based frameworks for integrating green space exposure for improved student wellbeing. This project will potentially enhance urban food resilience
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older adults. The expected outcome is the creation of AI algorithms to detect early signs of neurodegenerative disorders in older adults living independently at home. The potential benefit is early
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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This partnership between UniSQ and CSC aims to foster long-term international research collaboration. Where possible, co-supervision arrangements between UniSQ and the candidate's respective Chinese universities will be encouraged. Value University of Southern Queensland a full tuition fee...
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Australian grain growers face increasing challenges from seasonal uncertainty, rising input costs, and climate variability. This PhD project offers a unique opportunity to be at the forefront of agricultural innovation, exploring how advanced weather forecasting, crop modelling, and digital...