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approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College directly supports one of the four pillars of ANU by 2025
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registry data and large linked datasets engage with clinical and consumer stakeholders, project managers and web developers on the translation of the findings from this research program into practice and
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innovative Harvest Technologies | FRDC - led by QLD DPI with funding from the Fisheries Research and Development Corporation (FRDC) on behalf of the Australian Government. The Research Fellow will join an
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the Knowledge Hub Director and work closely with the Research Stream 4 Lead. Responsibilities: Responsibilities in this role include but are not limited to - Develop and apply original research ideas aligned with
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profile and help shape inclusive, evidence-informed trial methodologies. Supervision and Researcher Development: Support the supervision and development of Honours and HDR students. Provide effective
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, tracking project progress, and delivering timely reports to stakeholders and supervisors. Supervision and Researcher Development: Contribute to the effective supervision of Honours and Higher Degree by
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of Infrastructure, Transport, Regional Development, Communications and the Arts. This role will support the development of a scalable Register on motorcycle and motorised small wheel vehicle fatalities (2016–2023 and
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. Your efforts will help drive the development of personalised therapeutic strategies for cancer patients. Salary Package: From $83,580 per annum (HEW 5) + 17% superannuation + annual leave loading
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reputation has been built on the dedication and expertise of our staff and we offer a dynamic and diverse working environment with opportunities to grow and develop careers. We believe that a progressive
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nanobiotechnology, biosensors, extracellular vesicles and in vitro cancer diagnosis. You are expected to: Be part of an innovative project to develop a new nanoplatform for better understanding of molecular features