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. At AICF, we aim to create secure, sustainable, responsible, and inclusive technologies that maximise human potential and wellbeing in agriculture. By bridging cyber-secure emerging technologies with data
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This project will advance automated technologies for machine vision sensing of plant health in Controlled Environment Agriculture (CEA), for example in vertical farming systems. CEA is projected
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university’s external enrolment procedures. Selection criteria To be eligible applicants must have: A background in agriculture, meteorology, hydrology, or environmental science, with proficiency in statistical
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herbicide and antimicrobial resistance that threatens the global agricultural and health industries. This exciting project will draw on parallels with drug resistance to investigate a new molecular mechanism
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to release, waste generated in animal husbandry are either directly released to the environment or may be reused for other agricultural purposes. As such there is risk associated with AMR and antibiotic
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roles and utility. They play pivotal roles in medicine, food industry and agriculture: from regulating mood, to underlying the action of pesticides and life-saving drugs. One of the most successful
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are open now. 30 November 2020. 30 November 2020. Desirable criteria Knowledge of wastewater management, agriculture and/or other land use and environmental challenges in Australia Interest in and
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-ARFOD, Doctor of Philosophy - Agriculture and Food Science Eligibility criteria Full-time enrolment Show an active commitment to the research and teaching Successful recipients must also not be in receipt
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opportunity to contribute to cutting-edge research that has a real-world impact on the agricultural sector. The Analytics for the Australian Grain Industry (AAGI) Scholarship Program (AU node) is funded by
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent