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CSIRO IPhD Scholarship - Investigating the interactions between sulfide minerals and in-situ recovery fluids for sustainable copper mining The CSIRO Industry PhD Program (iPhD) is a four-year
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CSIRO IPhD Scholarship - AI-empowered visual recognition system for dairy cow identification, health and behaviour monitoring and detection The CSIRO Industry PhD Program (iPhD) is a four-year
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PhD Scholarship – Patient Reported Outcomes To Improve Proactive & Patient-Centred Care for Heart Failure Patients Job No.: 675730 Location: Victorian Heart Institute Employment Type: Full-time
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I study galaxies and active galactic nuclei, endeavouring to understand how galaxies grow, what regulates star formation within galaxies and what triggers active galactic nuclei. My students and I use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from...
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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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to the fields of AI, biomechanics, and applied sports science, this project offers a unique opportunity for PhD candidates to engage in interdisciplinary research with real-world impact. The project also includes
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Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 7 hours ago
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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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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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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