327 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Australia
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contributes to the education of the next generation of doctors through the UNSW Doctor of Medicine program, conducts primary and integrated care research, contributes to postgraduate teaching, supervises ILP
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program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc.) during medical imaging and
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presentations. Contribute to grant applications for competitive funding opportunities. Who we are looking for (Selection Criteria): Essential: PhD (or near completion) in Geophysics or a related field or an
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or implementing deep learning approaches on existing clinical systems). Experience and interest in grant writing would be viewed favourably. To be successful in this position, you will have: A PhD in a relevant
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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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teaching equip the next generation of leaders and innovators with the skill, commitment, and vision to protect vulnerable communities and truly advance health outcomes. It is at the heart of everything we do
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the application of AI and machine learning to identify novel therapeutic targets and advance precision medicine approaches. For further information, please click here to view the full appointment
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and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
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geomechanics, or ability to quickly acquire relevant domain knowledge. Proficiency in high-performance computing (HPC) for large-scale parallel simulations. Experience with advanced constitutive models and their
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events. The Person The successful candidate will hold a PhD in design or a related field, with an active research and publication agenda. The successful candidate will have experience in one or more of: co