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machine learning, big-data analytics, and data-driven approaches to optimise composition–process–property relationships. Key responsibilities will include: Research: Conduct additive manufacturing research
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in Economics, Mathematical Sciences, Computer Science, Environmental Science (with a quantitative focus) or related fields strong experience in large-scale data processing and management, including
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of large-scale, nationally representative education surveys using Qualtrics, ensuring methodological rigour and high-quality data collection. Initiate, design and conduct quantitative research using advanced
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and experimentally and clinically implement mechanistic and AI based algorithms Support the acquisition and analysis of clinical data, and imaging, software and equipment infrastructure contribute
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 20 hours ago
, follow us on social media at Instagram and Facebook For further information please contact, Dr Charlie Crimston, T: +61 2 6125 2796, E: charlie.crimston@anu.edu.au ANU values diversity and inclusion and
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travel and accommodation costs. Further information on Fryer Library’s manuscript collections is available on the Fryer Website
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excellence in field-based hydrodynamics, water quality, groundwater, and meteorological monitoring, supported by significant specialist equipment and boat-based data collection. The School of Civil Engineering
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know the outcome? Round 1 (Jan-March applications): May-July Round 2 (June-August applications): September-October Future Rounds - TBC Submit an application Status: Open for applications The information
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a motivated Level A Research Fellow for a 2 year research-only appointment. A Level
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helps companies, governments, and not-for-profits transform the sectors they operate within, for public good. Our research focuses on areas including: Health and social care Sustainability Data and