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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
and non-financial rewards and programs, please click here . To see what the Science and Medicine at ANU community is like, we invite you to follow us on social media at Instagram and Facebook . A
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
conduct research and deliver research-led education programs spanning the entire breadth of the sciences, supported by extensive international networks and world-class facilities. This is an opportunity
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colleagues, project team leaders, and industry partners. Ability to build effective networks and generate alternative funding projects through effective liaison with industry and government. Demonstrated
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
international networks and by world-class facilities. To find out more about the Science at ANU community, follow us on social media at Instagram and Facebook For further information please contact, Joanna
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effectively work with colleagues, project team leaders, and industry partners. Ability to build effective networks and generate alternative funding projects through effective liaison with industry and
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of the South Australian community sector and experience establishing and maintaining a network of contacts for collaborative activities relevant to Aboriginal community engagement Demonstrated capacity to manage
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
, Physics, and Science Communication and is also home to a number of cross-disciplinary and specialist Institutes and Centres. Staff and students within the ANU College of Science and Medicine conduct
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development. 7. Ability to build effective networks with colleagues and support funding bids through excellent interpersonal and communications skills and effective liaison with academia, industry and
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Learning-related field. Programming experience in Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in deep learning, transformer
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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is