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translational research across a range of neurological conditions including epilepsy, neurodegeneration, multiple sclerosis, and traumatic brain injury. The department benefits from direct access to early-phase
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
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reaches out from our world class teaching hospital at the Flinders Medical Centre in South Australia to multiple rural clinical locations all the way to Darwin in the Northern Territory. Our research and
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distribution across multiple HSR scenarios. You will work alongside a team of internationally renowned experts in transport and urban planning, including Associate Professor Liton Kamruzzaman, Professor Hai Vu
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involving the world leading farming systems model, APSIM. This work will involve working with scientists and software engineers across multiple CSIRO sites, and with staff of industry collaborators and in
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and confidentiality. Excellent time management and project management skills, with a demonstrated ability to respond to changing priorities, manage multiple tasks and meet competing deadlines by using
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projects Demonstrated ability to work collaboratively on research projects with multiple stakeholders Demonstrated experience in undertaking quality research activities which maximise publishing outputs in
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quantum engineering, quantum computing, and/or quantum information sciences A deep understanding of quantum algorithms and/or experience with quantum hardware will also be beneficial. A passion for
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our world class teaching hospital at the Flinders Medical Centre in South Australia to multiple rural clinical locations all the way to Darwin in the Northern Territory. Our research and teaching equip
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to the principles of equity, diversity and inclusion. Desirable characteristics: Experience of handling large sets of samples from multiple collaborators. Experience with HPAEC-PAD, mass spectrometry and HPLC systems