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Successful candidates will be expected to have a solid background in finance and sustainable finance, research methods, strong data analytic skills, and experience working with large datasets. RMIT
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could be involved in: Interactive information access and retrieval Explainable AI Responsible automated decision-making systems and evaluation Generative AI and Large Language Models The Fellow will be
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, international collaboration and analysing diverse/large data sets will be beneficial for this candidature. ICON Science website This PhD is part of an NHMRC/European Commission-funded project exploring
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, 112 academic staff, four research fellows and 25 Professional staff. In terms of programs there are four bachelor programs, two PGCert programs, two Master programs and two PhD programs. Each department
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under 'Admissions' in PhD (Mathematical Science). Have a Master, first-class Honours or equivalent in one of the disciplines of statistics, mathematics, or data analytics/science. Excellent programming
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Autonomous methods for fault or anomaly detection and classification of PV plants with high accuracy are necessary for the monitoring of large-size PV power plants. Objectives also include other
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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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Kerryn Butler-Henderson via [email protected] 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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distributed systems/applications will be preferred. To apply, please submit the following documents to Dr Hai Dong. Expressions of interest should contain the following information: A one-page cover letter
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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