332 phd-in-architecture-interior-design-built-environment Fellowship positions in Australia
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intracellular signalling, including design of experiments, analysing data, writing manuscripts and reports, and supporting grant applications. This position will fit into a multidisciplinary environment with
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Cutting-edge marine genomics hub driving breakthroughs in eDNA technology for ocean conservation. Collaborative research environment with world-class facilities and strategic partnerships (UWA
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Cutting-edge marine genomics hub driving breakthroughs in eDNA technology for ocean conservation. Collaborative research environment with world-class facilities and strategic partnerships (UWA
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well as collaborating with the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics
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securing competitive funding in a collaborative, high-profile environment. Full-time appointment until end of December 2026 Base salary range: Level C $ 132,380 – $152,279 p.a. plus 17% superannuation About
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-profile environment. Full-time appointment until end of December 2026 Base salary range: Level C $ 132,380 – $152,279 p.a. plus 17% superannuation About the area The Centre for Social Impact (CSI) is a
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-profile environment. Full-time appointment until end of December 2026 Base salary range: Level C $ 132,380 – $152,279 p.a. plus 17% superannuation About the area The Centre for Social Impact (CSI) is a
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for those looking to bridge theoretical innovation with applied outcomes. Applicants must hold (or be eligible to obtain) a Commonwealth of Australia NV1 security clearance or an equivalent clearance from
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government to address research and training challenges in critical minerals. About the opportunity Plan, implement and coordinate workflows according to project requirements and timelines, including
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, computational chemistry, computational biology, or a closely related discipline. Demonstrated experience in the design of machine learning architectures such as GNNs, VAEs, or diffusion models applied