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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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years Summary The Baillieu Research Scholarship was established by a gift from the Honourable William Lawrence Baillieu and family, and is offered to students undertaking graduate research in Architecture
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For over a century, X-rays have been used to visualise the internal structure of opaque objects, driving major breakthroughs in healthcare, industry, and scientific research. Conventional X-ray imaging, based on absorption, provides good image contrast between high- and low-density materials,...
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collaborator, Kurloo, based in Brisbane, Australia and be involved in the commercialisation pathway for the research outcomes. Useful Information CSIRO industry PhD project description 8558.pdf Scholarships
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The Australian Institute for Machine Learning (AIML) offers new PhD scholarship opportunities in Industrial AI. These full-time scholarships support students undertaking their PhDs in AI and machine
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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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pa Fixed term Ref: 095093 You will join the group of Professor Alessandro Troisi based in the Materials Innovation Factory (https://www.liverpool.ac.uk/materials-innovation-factory/ ) to work on a
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to study a PhD focused on Chemical Engineering or other relevant fields, e.g. Material Science & Engineering. Eligibility criteria Applicants are required to: Full-time enrolment Show the capacity to carry
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for an outstanding PhD scholar in soil science and restoration ecology. This PhD project will involve research approaches for soil preparation that optimise soil moisture and nutrient/organic accumulation and
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collect real data from ocean and rivers. Deep learning models and architecture will be validated based on real data. More robust and accurate models will be developed for global ocean environments