Sort by
Refine Your Search
-
and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including
-
This PhD scholarship is for candidates interested in developing culturally inclusive AI by creating methods and datasets to align large language models with global social and legal norms. This PhD
-
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
-
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
-
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
-
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
-
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
-
the application of noise over a large number of distributed models. These issues should be overcome by developing robust and feasible mathematical models for differential privacy by investigating the data dynamics
-
as well, resulting in increased survival. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour flowcytometry (up to 27
-
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