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investigate how targeted engineering of plant metabolic pathways, combined with RNAi-based approaches and genomic studies, can be used to improve plant performance, strengthen defence responses against pests
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part of an innovative project that not only benefits the construction industry but also sets a precedent for using technology to bridge gender gaps in various sectors. Eligibility You will need to: meet
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hands-on experience with Python and ML libraries (PyTorch/TensorFlow) experience with signal/image processing or computer vision for video strong programming and data engineering skills Desirable
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Study area: Engineering Need help understanding the process? Visit our scholarship guide Application How to apply You must submit an application and include a personal statement outlining your reasons
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coursework Student type: Domestic students Study stage type: Current study Study area: Engineering Need help understanding the process? Visit our scholarship guide Application How to apply You must submit
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image “I applied [for the scholarship] because I saw it as a rare and powerful opportunity to strengthen my skills in mediation and dispute resolution while staying deeply connected to my community work
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(20th of July 2026). Academic background: You must have an honours degree or demonstrated equivalent research expertise in computer science, machine learning, data science, human-computer interaction (HCI
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. Abhijit Mukherjee (Curtin University) Student type Current Students Future Students Faculties and centres Faculty of Science & Engineering Engineering courses Course type Higher Degree by Research
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Zealand and leading cyber security provider CyberCX. Artificial intelligence is one of the most transformative fields in technology today. Revolutionising industries from healthcare to finance, AI is
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This project aims to re-imagine the role of red meat as part of a healthy lifestyle by using novel technology to create new usages and occasions that transform commodity red meat and by-products