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excellent written and communication skills, demonstrated capacity to work independently and as a part of a team, and experience in research are preferred. Interested applicants should first email Professor
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training in research methods, publishing, grant writing, and career planning. How to Apply This is a two-stage application process: Initial Screening and Interview Interested applicants should email the
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environment, demonstrating critical thinking and problem-solving abilities. Students must reside in Australia for the duration of the project. Please email Dr Kate Wang at kate.wang@rmit.edu.au with your CV
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. Enquiries Please contact Associate Professor Robert Briggs via email r.briggs@curtin.edu.au Scholarships Email Alert Sign up now
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Email: jianfeng.mao@adelaide.edu.au ; jingxiu.wang@adelaide.edu.au Expressions of interest: Expressions of interest should be emailed to Associate Professor Jianfeng Mao and Dr Jingxiu Wang
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electronic academic transcripts A CV that includes any publications/awards and the contact details of two referees. Potential candidates need to send the following documents to Associate Professor Asgar
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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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to QUT's Doctor of Philosophy . The first step is to email Professor Hongxia Wang detailing your academic and research background, your motivation to research in this field and interest in this scholarship
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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. Candidates should have an undergarduate degree in a relevant field of science or engineering. Please contact Dr Philipp Reineck via email: philipp.reineck@rmit.edu.au Please contact Dr Philipp Reineck via