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systems. Analyse mixed-methods data (quantitative biometrics + qualitative focus groups). Collaborate with educators, engineers, and industry partners. How to apply To apply, please ensure you have digital
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collaboration from industry partners AgriTech Solutions and Hydrotech Monitoring Pty Ltd (trading as HTM Complete), both leaders in agricultural technology and decision-support systems across Far North Queensland
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process. Closing date 15 February 2026 Further information Further information about this scholarship can be obtained by emailing Janet Wade at hdrinternational@unisq.edu.au . This partnership between UniSQ
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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