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Acknowledgement of Country CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our respects to their Elders past and present. View our vision towards...
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will undergo an interview process. If supported to apply, you will then submit an expression of interest (EOI) following the advice at how to apply for a research degree . In your EOI, nominate Dr
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response incentive arrangements with the national electricity market (NEM). Currently cost recovery for regulation frequency services is based on the causer pays process, which allocates the cost of sourcing
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factors involved in the onset and progression of dementia. Advanced computational methods, including bioinformatics pipelines and machine learning, will be employed to uncover putative biomarkers and
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of their remnants (including predictions for GW sources); mixing and transport processes in the stellar interior; nucleosynthesis and the origin of elements, including galacto-chemical evolution - which elements
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related field. Applicants with prior research experience and/or publications in areas such as cell biology, immunology, vascular biology, neurology, or bioinformatics are strongly encouraged to apply
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your thesis You may apply for and receive multiple Science Abroad Travelling Scholarships but the total payment over the course of their candidature may not exceed $2,000. *Important Note: Graduate
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to the efficient operation of the research work area by providing essential research support. Your key responsibilities will be to: recruiting study participants, liaising with potential participants
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-hazard resilient sustainable modular structures. New modular connections will be developed and structural response of hybrid modular structure to multiple hazards including impact, blast, wind and
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models