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outputs of a team dedicated to translating discovery into meaningful impact for people living with Friedreich Ataxia. We are seeking someone with a PhD in computer engineering, biomedical engineering
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that embodies those methods, evaluating those methods, writing academic papers, applying for research grants and supervising research students and staff. The Research Fellow will develop temporal analysis
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to apply your expertise to real-world clinical challenges. To be successful, you will have: Postgraduate qualifications in computer science, data science, or a related discipline (PhD preferred
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). This will combine skills in both solution-phase and solid-phase synthetic techniques, as well as purification and characterisation. You will also act as a mentor to postgraduate research students in the group
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the University’s research capacity in a globally relevant field. The role provides the opportunity to develop and publish a monograph based on Korean Studies-related PhD research or, if already published
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, fabricate structures at the Melbourne Centre for Nanofabrication, and measure their optical and electrical properties. The successful candidate will have a PhD in Physics, Materials Engineering, or a closely
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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Proficiency in analytics, AI, and modern data science tools Excellent problem-solving, project coordination and communication skills A PhD or equivalent research experience (preferred) Experience with clinical
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direction, produce high-quality publications and presentations, and supervise and mentor research staff and postgraduate students. By fostering interdisciplinary collaboration and strengthening links with