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the recruitment process. To Be Successful You Will Need A PhD qualification in a relevant discipline, e.g. aerospace/computer/electrical/mechanical or mechatronic engineering Knowledge of machine learning, image
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applications Ability to work collaboratively in an interdisciplinary team environment Further information about this role can be found in the attached position description. Qualifications PhD in Chemistry
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industry collaboration. Please see the full list within the Position Description. Qualifications A doctoral qualification in Exercise and Sport Science. Candidates who may not have PhD but have extensive
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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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Position Number: 0065812 Location: Parkville Role type: Full-time; Fixed-term until 23 December 2026 Faculty: Science Department/School: Mathematics and Statistics Salary: Level A - $83,468
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in public health (epidemiology
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Position Number: 0065812 Location: Parkville Role type: Full-time; Fixed-term until 23 December 2026 Faculty: Science Department/School: Mathematics and Statistics Salary: Level A - $83,468
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approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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Position Number:0065812 Location: Parkville Role type: Full-time; Fixed-term until 23 December 2026 Faculty: Science Department/School: Mathematics and Statistics Salary: Level A - $85,555
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supporting a diverse range of imaging and analytical instrument platforms. About the opportunity Elaborate new methodologies applied to critical mineral research with a focus on REE and Li Identify efficient