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that unveil the unseen. analyse complex data to uncover insights and pioneer new strategies for molecular sensing and imaging. We’re looking for someone who brings: A PhD in chemical biology, organic chemistry
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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: Claudia Szabo Associate Professor, School of Computer and Mathematical Sciences P: +61 (8) 831 36744 E: claudia.szabo@adelaide.edu.au You'll find a full position description or selection criteria below
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PRIMARY DETAIL • Salary package: $106,089 (Level A.6 - PhD) to $113,697 p.a., plus 17% employer’s superannuation and annual leave loading. • Appointment Type: Full-time, fixed Term for two years
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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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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
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 - $83,468
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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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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