326 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Australia
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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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(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity Join the Computational Multiphysics Laboratory (CML) at UQ’s School
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Australian National University | Canberra, Australian Capital Territory | Australia | about 17 hours ago
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
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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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experience contribute to ongoing translational research program related to the application of statistical and machine learning methods in reproductive and perinatal medicine using both clinical quality
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and standing recognised by the University/profession as appropriate for the relevant discipline area (e.g., AI/Machine Learning, Bioinformatics). A proven track record of research and scholarly
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software
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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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opportunities to develop their abilities and advance their careers and our PhD program has launched a thousand research careers. About the opportunity Small-scale fisheries account for 40% of global fish catch
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team and ensure all key research outcomes and milestones are achieved in alignment with project timelines. Qualifications, skills and experience required A PhD qualification or equivalent in Geology