309 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of New South Wales
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collection, data wrangling, big data analytics, and the application of artificial intelligence and machine learning techniques. The role is focused on data and analytics related to development applications
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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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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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. 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
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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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with a strong sense of community & 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
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 2 months ago
. Why Your Role Matters: The School of Humanities & Social Sciences provides an understanding of how we navigate the world, what we can learn from our past and how we can make a difference going forward
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community & 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
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relationships with colleagues, partners and stakeholders, both internal and external. Awareness of inclusive and accessible practices in organisational development, learning design and change initiatives, and a
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testing would be an advantage) Rodent optical neuroscience procedures and data management (i.e. fiber photometry) Automated/semi-automated machine learning analyses of rodent behavioural data (e.g