321 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Australia
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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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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 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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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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methods for monopiles and validating models through centrifuge testing. Contribute to research dissemination through publications, conferences, and supervision of students. About you PhD or equivalent
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 21 hours ago
delivering project-based learning and actively participate in the broader intellectual and academic life of the School, College and University. Located within the School of Art and Design, the Design program
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people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking applications for a Level A Research Fellow to contribute to a high-impact research project
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intelligence (AI), machine learning (ML) and vision, natural language understanding, and robotics, to build autonomous systems that can perceive, plan, and respond to their environment in pursuit of high-level
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hearing care. This role supports a high-impact research program focused on addressing the unmet needs of adults with hearing loss through data-driven policy, service innovation, and community-based
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dissemination through publications, conferences, and supervision of students. About you PhD or equivalent industry experience in geotechnical engineering or a closely related field. Relevant research experience