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. Desirable Experience in a tertiary education institution or other large organisation in an area related to student administration would be highly regarded. Knowledge of University student computer systems and
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at improving the quality, safety, and effectiveness of medication use across the reproductive lifespan. The role involves managing and analysing data from clinical trials, cohort studies, and large linked
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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials
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Status: Closed Applications open: 2/06/2025 Applications close: 12/08/2025 View printable version [.pdf] About this scholarship Description/Applicant information Disclaimer Information
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
support, training, mentoring & upskilling opportunities. For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here . To see what the Science and
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to interpret and synthesise large amounts of data from diverse sources and identify underlying causes and assumptions. Experience with a range of evaluation and data analysis methods relevant to both qualitative
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engagement methodologies for the design of large language model (LLM) agents within digital health interventions. Stakeholders in this context include subject matter experts—such as clinicians, healthcare
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worked. We’re a large organisation with a diverse and talented community; a community doing extraordinary things. Together, we are driven to be thoughtful, practical, and purposeful in all we do. Taking
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
entitlements, Designated parent rooms, quiet spaces and childcare facilities on campus, Career support, training, mentoring & upskilling opportunities. For more information on a range of lifestyle, financial and
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. Application of artificial intelligence/machine learning to the big data from genetics and omics is well recognized in healthcare, however, its application to the data reported everyday as part of the clinical