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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
: PD & PEWER Level B Research Fellow (Design for Disaster Resilience).pdf Join a progressive team within a world-class university Advance transdisciplinary scholarship through research, collaboration and
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Overview: RMIT Europe, in collaboration with RMIT University, is looking for a Postdoctoral Fellow to join the AuSpire Program. This position will focus on Regenerative Design Interventions in
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Innovation (ACAMI). Established in 2024, ACAMI is a collaborative research, clinical trials and workforce development centre operating at the intersection of AI and medical innovation. The Centre supports
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people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
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further waves are planned for 2026 and 2028. As an Associate Research Fellow, you will: Support survey instrument design, testing and implementation Undertake data collection, cleaning, coding and analysis
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collaboration with Prof Nanda Rea (Institute of Space Sciences, ICE-CSIC), and offers the opportunity to work at the forefront of time-domain astrophysics. The successful candidate will investigate a newly
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Position overview This fixed-term position will be based at the School of Art and Design, working in close collaboration with the School of Engineering, the Fenner School of Environment and Society, and the
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and co-design methodologies to design a MND care coordinator model tailored to the Australian health system context. Key skills required: A PhD in a health-related or social sciences-related discipline
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and