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                Apply now Job no:534087 Work type:Full Time, Part Time Location:Sydney, NSW Categories:Post Doctoral Research Associate Post-Doctoral Fellow (Immunology) - School of Pathology Employment Type: Full 
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                the interest of enhancing research outcomes. Ability to rapidly learn new techniques and to tackle experimental bottlenecks creatively. Excellent problem-solving abilities and good understanding of basic 
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                Annual repatriation tickets for Post Doc, spouse and up to 2 children Access to campus medical services and facilities Additional benefits such as use of community facilities and private beach The KFUPM 
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                Apply now Job no:533731 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate Post-Doctoral Fellow (Centre of Research Excellence in Depression Treatment Precision 
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                , economic growth, inequality, and culture. The project draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning 
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                position, available until December 2027. Flexible work arrangements can be negotiated with the right candidate. Be part of the Australian Institute for Machine Learning – the largest computer vision and 
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                focused on the challenge of accelerating ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track 
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                Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects at the Centre for Augmented Reasoning 
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                draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning to assess the impact of colonisation. About you PhD in 
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                , including with the use of machine learning use this knowledge to design excavation trajectories that reduce energy consumption develop mathematical models of excavation energy losses communicate your findings