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will provide high quality data comprising images, text, and detailed locational information for 667 names/toponyms given to localities on the Australian coast by d’Entrecasteaux and Baudin. The expected
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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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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Physical violence
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and inadequately captured in service and system-level data. This PhD project will examine the integration of care for co-occurring mental illness and addiction within Victorian mental health services
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proof-of-concept data to show algae can be consumed by humans in large enough boluses to provide meal-like amounts of protein and various micronutrients (van der Heijden et al. 2023b; van der Heijden et
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(honours) in biomedical sciences or equivalent For further information and enquires contact Professor Melissa Churchill (melissa.churchill@rmit.edu.au ) For further information and enquires contact Professor
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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Status: Closed Applications open: 14/02/2025 Applications close: 30/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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Kerryn Butler-Henderson via kerryn.butler-henderson@rmit.edu.au by 31 October 2022, with: A cover letter - outlining interest and alignment with the proposed research (see Further Information) A copy of
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uses world-class big-data omics analysis of immune cells, including RNAseq, genome-wide epigenetics, multicolour flowcytometry, cell sorting, multiplex cytokine analysis, as well as classical