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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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, and a PhD research program with over 120 students. 40 academic staff conduct experimental research in many areas of Psychology, including behavioural and cognitive neuroscience, perception, learning
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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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Australian National University | Canberra, Australian Capital Territory | Australia | about 17 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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Institutions are invited to apply for the 2025-26 ACSPRI Fellowship Program. Valued at $25,000, the fellowship will help PhD students to achieve their career goals, by providing direct financial support and
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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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have a PhD and, ideally, a postdoctoral experience in computational chemistry, biophysics or related discipline with the demonstrated ability to develop and pursue innovative computational research
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PRIMARY DETAIL - Salary Package: $109,272 (Level A, Step 6 - PhD awarded rate) p.a., plus 17% employer's superannuation and annual leave loading - Appointment Type: Full-time (35 hours per week
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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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performing other duties that support the efficient operation of the research team. Mandatory: PhD or equivalent in electrical and electronic engineering and/or applied mathematics, in particular, in one