488 post-doc-image-engineering-computer-vision positions at Monash University in Australia
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analytical imaging methods, then working with collaborators to apply these methods to biomedical research, diagnostic imaging and beyond. Research projects vary from purely theoretical, to computational
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this role you will be trained to follow existing business processes to provide a range of professional and high-quality post-award administrative services, including: Responding to enquiries via phone and
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Access Inclusion and Success team as a Student Support Officer in the Peer Mentoring program. The Student Support Officer provides a range of administrative and support services for Peer Mentoring programs
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. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Relevance, quality and achievability of projects to the Monash-Museums Victoria collaborative research
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of innovation in education and become a key player in the Department of Mechanical and Aerospace Engineering, part of Australia's #1 Engineering Faculty. We are on the lookout for a visionary Senior Lecturer to
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Short description The PhD project is focused on recommended design and engineering principles of totally renewable microgrids with the ambition to outperform traditional networks reliability
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at Monash University in Melbourne, with an operational footprint Australia-wide, the Maintenance Technology Institute (MTI) is a commercially orientated, professional research and engineering organisation
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Manager, Projects and Partnerships Job No.: 681182 Location: Clayton campus Employment Type: Part-time, fraction (0.6) Duration: Fixed term appointment until February 2027 Remuneration: $140,157 – $148,769 pa HEW 09 (plus 17% employer superannuation) Amplify your impact at a world top 50...
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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. The latest advanced techniques in machine learning and computer vision for image content analysis will be applied to generate data for dynamic species distribution models. This data will in turn be used