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for applicants that demonstrate strong research in one or more of the above areas backed by a strong publication record. Applicants must have or be close to obtaining a PhD in Computer Science. How to Apply Please
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applicant's research interests and motivation for applying for the position. the names and contact information for two referees. One of these should be the main advisor from the PhD programme. CV (preferably
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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
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). This fellowship provides substantial opportunities for new PhDs seeking significant experience, mentorship, and networking, as well as close collaboration with the Principal Investigators and considerable
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corresponding to master’s degree level Knowledge of matching-to-sample (MTS method) Excellent written and spoken English Admission to the PhD programme in Health Sciences is a prerequisite for the position. In
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the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals
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for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings
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university department for general education and research in Computer Science and related topics. The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and
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that are aligned with the University's research focus areas. You will embed your research expertise into the life of the School through the development of high-quality, productivity-driven research networks across
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networks across RMIT and with local and national, internal and external partners. You will be expected to engage in high quality research projects, to achieve success in attracting research funding and to