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Australia upon commencement of the PhD To be eligible for this scholarship, you must: Have a first-class Honours degree (or equivalent) in a relevant discipline (e.g., information science, sociology, digital
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and functional T cell assays. The PhD candidate: The preferred PhD candidate will have completed an Honours or Masters degree in immunology, microbiology, bioinformatics, biostatistics or a related
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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to both domestic and international applicants, but the applicant must be living in Australia upon commencement of the PhD. To be eligible for this scholarship you must: Have a first-class Honours
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and the contact details of two referees. Prospective candidates will be invited to submit a full application for admission to the PhD Biomedical Science (DR227). Scholarship applications will only be
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be closed when the right PhD candidates are selected Application will be closed when the right PhD candidates are selected One (1) One (1) To be eligible for this scholarship you must: Have a Master by
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The student must: Be an Australian citizen or Permanent Resident, or a New Zealand citizen. Not have previously completed a PhD. Enrol as a full-time PhD student. Be prepared to be located at the project
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electronic academic transcripts A short CV (including the contact details of two referees). The successful candidate will be supported to develop a formal PhD application to RMIT. Scholarship applications will
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to this project. Following this, you may be invited to an interview. This scholarship is only available to domestic applicants. This project has strong industry connections and is ideally suited for students who
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as a full-time PhD student. Part-time arrangements may be considered if approved by the supervisory team and in accordance with university policy. g) Be prepared to be located at the project location(s