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responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence, advanced characterisation and measuring methods for high performance perovskite
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techniques based on 3D sensor perception and deep learning to estimate forest tree structure from high-resolution drone-based LiDAR point clouds and imagery contribute to a world-leading large-scale forest
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ability to work with complex model systems both in vitro and in vivo. Evidence of contribution towards research relevant to the field of study/interest, such as publications, conference presentations
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and materials science to work within a research group led by Prof. Antonio Tricoli at the University of Sydney. The team has advanced research on materials science, nanotechnology, functional materials
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with advanced AI algorithms prior experience in both qualitative and quantitative research methods familiarity with megaproject delivery models or complex infrastructure systems. Work Rights Visa
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Full time, Two (2) Year fixed term opportunity. Located at the Forest Lodge Building on the Camperdown Campus Advance AI-driven decision-making in future megaprojects. Base Salary Level A, Step 6
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Research Infrastructure? No Offer Description Full time, fixed term for 12 months Opportunity to advance research in AI Hardware Acceleration Base Salary $89,831 - $121,054 + 17% superannuation About the
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Full time, fixed term for 12 months Opportunity to advance research in AI Hardware Acceleration Base Salary $89,831 - $121,054 + 17% superannuation About the opportunity The School of Electrical and
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Post-Doctoral Research Associate position in the field of Multiscale Systems Neuroscience. The successful candidate will join a dynamic and collaborative research team focused on advancing our
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an integrated model of care for early management of individuals with moderate-to-severe traumatic brain injury (msTBI) who have pre-existing mental health difficulties. Reporting to Associate Professor, Grahame