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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming
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or supervise students Proven ability to develop course material with appropriate guidance from the program coordinator Experience in performing administrative functions primarily connected with the area of
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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contributes to a nationally funded research program focused on improving bowel cancer screening, early detection, and treatment in rural and remote communities—particularly among Aboriginal and Torres Strait
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research profile as a Research-focused Academic in the Queensland Alliance for Agriculture and Food Innovation at UQ. The Research Fellow will be responsible for leading a tissue culture program for
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, four PhD students, and a research support officer. MSEL is part of the ARC Centre of Excellence for Coral Reef Studies and works closely with collaborators including CSIRO and the Palau International
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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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Australian National University | Canberra, Australian Capital Territory | Australia | about 3 hours ago
postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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past two years (2023 or after). Completion of a research component in an Honours, Masters or PhD program within a creative arts/performing arts discipline, or proven practitioner research experience and
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Group’s research programme for the development of therapeutic biomolecules. You will work as part of a team using cutting edge synthetic techniques to develop safer drug targeting systems based