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the research team also conducts research on a number of other pressing property matters whether the issues implicate urban or rural places. Position Summary The Initiative seeks a part-time PhD or Post-Graduate
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if you are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. Your research focus will be
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consideration, when evaluating the application, will be the quality of the candidate. Successful candidates will serve a two-year term, with a possible third-year renewal paid with program funding (maximum three
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development teams and facilitate the integration, analysis, and interpretation of datasets. Under the joint supervision of Dr. Michael Kobor and Dr. Emilia Lim, this role is part of a broader vision to
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program, through generation of high-quality publications and conference presentations. In addition, this position will contribute to the preparation of applications for externally funded research funding
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Role type: Full-time; Fixed term for 36 months Faculty: Science School: Agriculture, Food and Ecosystem Sciences Salary: Level A - $87,266 - $118,416 (PhD Enty Level - $110,319) p.a. plus 17% super
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The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We have a bold vision of what we want to achieve - shaping ourselves into one
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper
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setting The New York Times has called ?the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest
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ecosystems Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep learning for imaging of marine ecosystems available at the Department of Informatics. Starting date as