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-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance analytics into the future of infrastructure and
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believe everyone has the right to good health. As the oldest and largest health management program in Australia, our School is a pioneer in public health, global health, infectious diseases intelligence
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of scientific monitoring programs demonstrated experience managing and integrating large datasets experience working in large teams and organising complex field programs a strong commitment to delivering outcomes
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to: contribute to an interdisciplinary research program investigating the biochemical properties of a novel enzymatic oxygen sensing system and its role in low oxygen diseases facilitate drug discovery efforts
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opportunity to participate in a wide ranging and multi-disciplinary research program. We are seeking a Postdoctoral Research Associate at level A or B to join the Image X Institute , part of the Faculty
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. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
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of the Faculty/School/Portfolio as articulated through the Faculty/School/Portfolio’s Strategic Plan/ s or equivalent undertake other duties and contribute to projects appropriate within the classification level
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an outstanding career environment We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community
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community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait
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funded by the Advanced Strategic Capabilities Accelerator (ASCA) Emerging and Disruptive Technologies (EDT) program. This role will focus on developing and/or applying psychological theory- and data-driven