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. About the opportunity Apply cutting‑edge data science, computer vision, deep learning, and generative AI to agricultural and phenomics research across UWA, DPIRD, and national APPN partners. Coordinate
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this project, we will develop automated approach to detect the defects in AI systems, including LLMs, auto-driving systems, etc. Required knowledge - self-motivated, willing to spend time and efforts in research
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Health at UNSW UNSW Medicine & Health is a national leader in learning, teaching and research, with close affiliations to several of Australia’s finest hospitals, research institutes and health care
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. Members of the Infection, Immunity and Inflammation theme teach students at both the undergraduate and postgraduate level and bring their research experience to these teaching programs with the goal
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& inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best work. The School
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Machine learning is being used to make important decisions affecting people's lives, such as filter loan applicants, deploy police officers, and inform bail and parole decisions, among other things
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reporting against milestones. Experience working with a range of computer systems and applications, including NVivo, Xcel. Named author on peer reviewed publications (desirable). Demonstrated superior
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. Members of the Infection, Immunity and Inflammation theme teach students at both the undergraduate and postgraduate level and bring their research experience to these teaching programs with the goal
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and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
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. Details of the role This Data Scientist role offers a unique opportunity to work at the intersection of artificial intelligence, machine learning, and healthcare. The role will contribute to designing and