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oncology grouping sees close to 550 new cases of these cancers a year. There is a large active clinical trials programme that spans phase 1 to phase 3. These patients have a poor prognosis, and this clinic
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days 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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The role The Smart Internet Lab is looking for a highly motivated, enthusiastic researcher, with a passion for security assessment in large-scale experimental testbed infrastructure for future
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Rankings by Subject. The Department of Learning and Leadership (DLL) is a large specialist research and teaching department of approximately 110 academic staff. The department is a major world leader in
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dynamic academic health center and entry into the Big 12 Conference, UC?s momentum has never been stronger. UC?s annual budget stands at $1.85 billion, and its endowment totals $2 billion. UC is a mission
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of the role The Research Fellow in health data science, will be a research-focused academic position working within the National Perinatal Epidemiology and Statistics Unit (NPESU), a unit of the Centre for Big
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is non-negotiable. SDSURF invites applications for a Postdoctoral Research Fellow in the Department of Electrical and Computer Engineering, affiliated with the Caili and Daniel Chang Center
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Australian National University | Canberra, Australian Capital Territory | Australia | about 7 hours 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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/2025 Role Description An exciting opportunity for an established researcher or a recently completed PhD researcher with experience in malacology, epidemiology, data mapping and/or schistosomiasis
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challenge due to limited patient data—especially at the single-cell level—making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data