12 phd-rehabilitation-engineering-computer-science PhD positions at La Trobe University
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Expressions of interest La Trobe Rural Health School and the Reducing Gender-Based Violence Research Group are seeking a PhD candidate for a fully funded doctoral project scholarship. The successful
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or above. have outstanding grounding in one or more relevant disciplines including cancer biology, cancer medicine, physics, chemistry, , engineering, machine learning / data science, coding. How to apply
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To apply for this scholarship select follow steps 3 and 4 to submit your full application for candidature and scholarship. Domestic applicants should select the 'Graduate Research - Specialist Research Scholarship' option when promoted in the application portal, and use the scholarship code...
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ecosystems is still low. The continued use of these technologies may also raise concerns about ethical issues in human-technology interaction. To better address the above issues, we are looking for a PhD
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Australian or New Zealand citizens or Australian permanent residents newly enrolling in a PhD. Students undertaking the joint PhD program will be enrolled in a PhD at both institutions. Your supervisory team
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Australian or New Zealand citizens or Australian permanent residents. Students undertaking the joint PhD program will be enrolled in a PhD at both institutions. Your supervisory team will comprise of academic
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, biology, engineering, machine learning / data science, coding. How to apply: This is an Expression of Interest process. To express your interest in applying, candidates must supply the following information
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PhD Research Scholarship in Substance Use, Public Health and Sociology – Critical moments in responses for children affected by family substance use La Trobe University Job description Amount
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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investigate online feature engineering, continual learning and uncertainty quantification. Balance performance with governance. Projects will evaluate risk-adjusted returns alongside interpretability