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immune responses to promote T cell-mediated tumour clearance. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour
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This scholarship, with the Computational Biophysics Group in the RMIT's School of Science (Physics Discipline), provides an opportunity for a talented student to undertake their Ph.D. on a computer
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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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problems and data types and modality, from large-scale unstructured data, to highly varied sensor data and multimodal data. ADM+S students will participate in a national ARC Centre-based research and
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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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in biological problems using physical and chemical theory and computer-based techniques Meet RMIT’s entry requirements for the Doctor of Philosophy. and Be judged to be highly competitive for RMIT PhD
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the applicant must be living in Australia upon commencement of the PhD Applicants should contact Dr. Ronny Andrade Parra via ronny.andrade.parra@rmit.edu.au with the following information to discuss eligibility
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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, computer science, information systems, media studies). Have strong social research (quantitative/qualitative
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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meet RMIT University's minimum requirements for admission to a Doctor of Philosophy (PhD) program and should hold an Honours degree (First Class) or an equivalent standard Master's degree with a