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the next generation of leaders and innovators with the skill, commitment, and vision to protect vulnerable communities and truly advance health outcomes. It is at the heart of everything we do. About the
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to the successful supervision of research higher degree students. Strengthen and develop relationships locally and nationally with internal and external stakeholders. Investigate expansion of the research program
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practice. For at least the first three years, the appointee will lead and undertake a dynamic program of action research, centred on the curation and application of high-quality, evidence-based research from
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
specialist Institutes and Centres. Staff and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses the entire breadth
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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are looking for - Selection Criteria: Essential: A PhD in a relevant discipline such as Applied Statistics, Mathematics, Bioinformatics, and/or Computational Genetics, Data Science. A demonstrated track record
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Full-time, 2-year fixed-term role, with the possibility of extension An exciting opportunity to join the Snow Vision Accelerator Program either as a Postdoctoral Research Associate or Postdoctoral
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of public health including health policy, health promotion, health systems, services and management, digital health and analytics, health information management and informatics, and occupational health
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and postgraduate students. The School is also responsible for the supervision of ~120 PhD students, reflecting research strengths and expertise in the disciplines of Animal Biology, Computational
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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from