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Australian National University | Canberra, Australian Capital Territory | Australia | about 13 hours ago
and non-financial rewards and programs, please click here . To see what the Science at ANU community is like, we invite you to follow us on social media at Instagram and Facebook . A Diverse and
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. Strong programming skills in C++, Java or Rust. Experience with repository management, software packaging, source code control environments and practices, particularly GitHub. Experience working with
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
& upskilling opportunities . For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here . To see what the Science at ANU community is like, we invite you to
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU
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, astronomy, or computer science. Work experience in Computer Science, Information Technology, or a related field. Strong programming skills in C++, Java or Rust. Experience with repository management, software
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
only internationally accredited field epidemiology training program. Work with the MAE team to integrate diversity, equity and inclusion into all aspects of the MAE Program, including the curriculum
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) Based at our Herston Campus . About This Opportunity Join a nationally significant program driving innovation in clinical trial methodology at one of Australia’s leading research institutions
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research and teaching. It offers world class undergraduate psychology degrees, as well as postgraduate professional Masters training in Clinical and Forensic Psychology, an online Graduate Diploma program
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experience contribute to ongoing translational research program related to the application of statistical and machine learning methods in reproductive and perinatal medicine using both clinical quality
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(MPSC & MDS). The appointee will work with the MPSC & MDS program management team to lead and support the research program of the service, developing and enacting a strategic research plan to continue to