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The Australian Plant Phenomics Network (APPN): Based at the School of Agriculture and Food Sustainability Full-time (100%), fixed-term position until 31 December 2027 Base salary will be in the range $83,698.91 - $111,431.10 + 17% Superannuation (Academic Level A) Based at our St Lucia...
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computer skills, including the ability to use Excel, or the capacity to quickly learn Excel, to accurately process orders and goods receipts. Good communication and customer service skills. The ability
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Opportunity Join the Customer Analytics team within Marketing and Communications and play a pivotal role in advancing the University’s machine learning and artificial intelligence capability. This established
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, machine learning, and multi-omics technologies to drive discoveries that have the potential to transform cancer diagnosis, treatment, and patient outcomes. This is an exceptional opportunity to create
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background of generative AI and machine learning into Science and Mathematics programs at UQ. As teaching-focused Lecturers, the appointees will also be expected to: Teach and coordinate courses; Engage in
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of Heron Island and surrounding areas. Vocational training qualification (or ready ability to acquire) in science, business, or a trade with relevant experience, OR an equivalent combination of relevant
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network that underpins teaching, learning, research and engagement across UQ. Working within a collaborative and high-performing team, you will contribute to enterprise-scale network infrastructure, lead
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Computer Emergency Response Teams. This is an exciting opportunity to work alongside experienced cybersecurity and technology professionals, leveraging modern cloud and software engineering practices
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for Academic Performance . About You You will demonstrate: Completion of a PhD in computer science, cyber security, human-computer interaction, or a closely related discipline with a focus on privacy, provenance
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quantitative genetics, Bayesian methods, machine learning, large-scale genomic datasets, single-cell omics or integrative omics analyses would be highly regarded if the candidate was not initially trained in