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Be at the forefront of Innovation in Advanced Manufacturing Full-time, fixed-term (3.5 years) position at our Hawthorn campus Stipend of $40,000 (2025 rate), indexed annually Project Title: Edge
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PhD student(s) will join a vibrant team of postdocs, academics, and up to four PhD students working collaboratively across modelling, qualitative fieldwork, and optimisation techniques. PhD Research
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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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Scholarship code: SRS-25032 This scholarship has been established thanks to the generosity and vision of the late Mr Anastassios Vassilogianis, benefactor of La Trobe University's Greek Studies program. It is a testament to his desire to support Hellenic studies and research for and by students...
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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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this advertisement before the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Dr Qi Zhang EBML-Australia Group Leader in
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is to develop novel, integrated ecological models using linked multi-level (individual, community and societal) data sources. Integrating these data sources will identify new opportunities
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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
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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interventions. The proposed PhD project has two goals. First, it will leverage the Bookbot platform and data from over 5,000 users to evaluate a new psychosocial model linking reading difficulty, engagement, and