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This PhD Scholarship is funded by 2022 ARC Discovery Project “Modelling temporal evolution in spatial ecology with dynamical point processes". The world is undergoing rapid environmental change
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unique ovarian cancer animal model and blood samples from multiple human clinical trials. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in either immunology, oncology
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pipelines to analyse big volumes of metagenetic data. The analysis pipeline will roughly use packages such as trimomatic, FastQ screen, centrifuge/kraken and many more. The PhD candidate: The preferred PhD
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immunological techniques, e.g. ELISA, ELISPOT, immunohistology, proliferation and functional immune-cell assays. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in immunology
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. For international applicants, evidence of English proficiency may be required. Once approved, prospective candidates will be required to submit an application for admission to the PhD (Computer Science) program
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This project seeks to pinpoint cellular and molecular epigenetic mechanisms that drive age-related immune-senescence and inflammation, critical to the decline in immune function and ability to respond to vaccines, infections and cancers in the elderly. This project seeks to pinpoint cellular and...
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thinking and problem-solving abilities. Students must reside in Australia for the duration of the project. Applicants must hold a Masters degree or an equivalent qualification in a relevant field such as
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transformation. In addition to the school’s research theme and cluster, this research aligns with sustainable development (efficient, less use of resources and student mobility), digital transformation
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Scholarship will fund a 3 year PhD candidature to work in the Chemistry Department of the RMIT School of Science CAMIC Laboratory. Project is a collaboration with immunologists (SHBS) to test gold
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Scholarship will fund a 3-year PhD candidature to work in the Cancer, Ageing & Vaccine Laboratory (SHBS). Project is a collaboration with WEHI and Hudson Institute to improve cancer diagnosis