191 data-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in Australia
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experience in machine learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural
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to apply: Please submit your CV and covering letter outlining your suitability for this position by clicking on the ‘Apply’ link at the top of this page. For further information about this position, please
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maintain confidential information; ability to set priorities, manage time, and meet deadlines in a timely manner; experience in computer usage and Microsoft Office products; and excellent written and oral
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
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 follow us on
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on clinical trials, as well as contributing to the development of data-driven interventions and stewardship models to enhance patient outcomes after surgery. This position is an opportunity to work with a
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managing research funding. To view the Position Description in full, please email talent@uq.edu.au This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic
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to identify microbial indicators for monitoring marine ecosystems using large-scale short- and long-read sequencing data. You will collaborate with a dynamic team of internal and external researchers to achieve
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to lead and support high-quality data analysis, contribute to manuscript preparation, and supervise Honour and Higher Degree by Research students, as well as psychiatry registrars undertaking scholarly
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workflows, including troubleshooting, iterative method development, and data-informed protocol refinement. Strong analytical skills, with demonstrated ability to manage and interpret large eDNA datasets
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workflows, including troubleshooting, iterative method development, and data-informed protocol refinement. Strong analytical skills, with demonstrated ability to manage and interpret large eDNA datasets