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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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economics, health policy, health data analytics. Applicants from other disciplines (e.g., public health, epidemiology, biostatistics) with strong quantitative skills or a willingness to develop them
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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 Chiral molecules
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entitled to work in Australia on a permanent basis. The Data Visualisation and Immersive Analytics Lab is home to the Embodied Visualisation Research Group, Australia’s leading team of researchers exploring
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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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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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Status: Closed Applications open: 27/03/2025 Applications close: 27/04/2025 View printable version [.pdf] About this scholarship Description/Applicant information The PhD project, funded by
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Research Institute (SAHMRI). Working with data from the unique Registry of Senior Australians (ROSA), the candidates will use analytical/statistical methodologies to produce the evidence necessary to improve
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, functionalising, and characterising nanoparticles for targeted delivery in the human body. Responsibilities also include in vitro cellular testing, data analysis from cytotoxicity and bioavailability studies, and
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cloud computing for data processing and model deployment. Familiarity with crop models (APSIM, DSSAT, AquaCrop), irrigation systems, and agricultural practices is advantageous. Strong analytical, critical