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or computational materials modelling is highly desirable. Background in either AI or computational materials modelling is highly desirable. This scholarship will be governed by RMIT University's Research Scholarship
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As a pregnancy approaches term (the point at which the foetus is considered fully developed), decisions are made about the timing of birth and the way babies are born. These decisions are incredibly
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considered in pain models that could be targets for new therapies. use the model to develop more efficient pathways and new pathways to consider for neuropathic pain.
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. Applications are open now. Scholarship applications will close when the position is filled. Scholarship applications will close when the position is filled. The project aims to develop and apply new microscopy
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Understanding factors related to student retention and experience in physics and astrophysics major units. Using quantitative (surveys) and qualitative data (interviews with students) this project aims to explore who takes physics and astrophysics major units, why they pursue them, and what...
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Background Graham, Hugh, Jenny and Karen Possingham, graduates of the University of Adelaide (the University), established the Possingham Fund to support a postgraduate research scholarship in
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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Duration of Award: See scholarship details Level of study: Research Study Area: Veterinary Science Eligibility How to Apply Eligibility The applicant must meet Murdoch University Admission requirements
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anaerobic microorganisms. Establish uranium uptake kinetics and stability in response to microbial consortia evolution mimicking in a mining site environment. Establish the uranium remediation strategy
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, hyperspectral imaging provides an opportunity to develop fast and non-invasive methods of detecting plant diseases and potentially discriminating between different disease types (e.g. virus, fungus, bacteria