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, knowledge and understanding through teaching and research, for the benefit of individuals and society at large. We have put environmental sustainability and social justice at the heart of our strategy
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large amounts of complex data. They should provide evidence of potential for research and publication at the highest level, as well as a strong interest in engagement in empirically-grounded, quantitative
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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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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 | 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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electrolysers or related fields. • Experience with large-scale electrochemical systems, including component selection, system integration, and process scale-up is highly desirable. • Proficiency in
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appointee will join the LEO Dr. David P. Chan Institute of Data Science and will be expected to: (i) carry out research and submit papers to top journals in the field of large vision models or large language
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Factors, patient safety, healthcare quality and clinical research or systems improvement; Demonstrated skills in qualitative or mixed methods research, data collection and analysis; and Knowledge of Human
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hydrogen/methane blends in 15 MW boilers and prepare a report (thermal power and heat transfer analysis at large-scale); b) Collaborate with UBC technicians in acquiring data from our 15 MW boilers, analyze
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data