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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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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
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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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to work at the frontier of agricultural science and data-driven innovation. The successful candidate will have the opportunity to co-design the focus of this research project. Potential areas
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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