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in expressing and purifying large multi-subunit protein complexes and analysing them through in vitro methods. Extensive experience in structural biology techniques, especially with cryo-EM
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providing a variety of research support to Senior Academics including literature reviews, assistance with grant submissions and quantitative and qualitative data analysis. The successful applicant will work
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in the HARP trial. Ensure adherence to project timelines, budget, ethics approvals, reporting obligations, and data security and management requirements. Research Dissemination and Impact Drive
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Position is an equal employment opportunity measure aiming to increase representation by the target group in accordance with the University Identified Positions Procedure For further information please
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
, training, mentoring & upskilling opportunities. For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here . To see what the Science and Medicine at ANU
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will include leading and undertaking quantitative data analyses, including working with large-scale longitudinal survey and administration data, to generate novel insights and contribute to high-quality
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Job Reference: 1044217 About the Role: Join a pioneering national research initiative at the intersection of geochemistry, data science, and critical minerals. As an AuScope EarthBank Fellow, you
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of the role The Research Fellow in health data science, will be a research-focused academic position working within the National Perinatal Epidemiology and Statistics Unit (NPESU), a unit of the Centre for Big
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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stability assessments and control development. You will: contribute to delivering the CfNETR project(s) in smart power system engineering; develop literature reviews and maintain data and knowledge