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scientific foundation and a passion for applying research in real-world contexts, this is your opportunity to be part of a collaborative and high-performing team driving innovation in materials performance
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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
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program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc.) during medical imaging and
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education program in the Gladstone region. In this pivotal academic role, you will provide strategic and operational leadership for teaching and learning, working closely with students, staff, clinicians, and
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine learning workflows will lead to rapid precision diagnoses and effective
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computer in Brisbane. The QDA aims to pioneer the use of quantum computers, and especially fault-tolerant quantum computers, for high-value decarbonisation use cases such as improved battery chemistries
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internal/external stakeholders regarding fees, debts and payments, escalating as appropriate. Ensure a high level of customer service and confidentiality, and prompt resolution of queries and requests from
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Australian National University | Canberra, Australian Capital Territory | Australia | about 15 hours ago
the proper operation of complex instruments, and assists in maintaining the Life Science facility. Reporting to the Senior EM Specialist and CAM Director, the role also supports teaching and outreach
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Directors of HDR and teams across the University, you’ll help create a more connected and enriching experience for candidates, contributing to a research community that is both high-performing and deeply