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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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developed in primary health settings, and the selected candidate will assist with coordinating quantitative research projects and contribute to the design of quantitative studies, especially in chronic
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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Otolaryngology, Head & Neck Surgery Clinical Epigenetics group, led by Professor Harshita Pant. This role is embedded within the Cytokine receptor laboratory at the Centre for Cancer Biology and plays a pivotal
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the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Lewis Mitchell Professor of Data Science; Director, Adelaide Data
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contribution of 17% superannuation applies. Full-time, fixed term position for 13 months. We are seeking a Postdoctoral Research Fellow (Level B) to join the School of Computer and Mathematical Sciences
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research in molecular genetics supporting the Grains Research and Development Corporation funded Weed Management Initiative under the supervision of Professor Christopher Preston at the University
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government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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. These include mathematical analysis, numerical simulations, computational and data science approaches, natural language processing, etc. Depending on the specific findings, research outputs are targeted