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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
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PhD Opportunity This project will involve epidemiologic analysis of FluTracking and published data to explore how self-testing and vaccination behaviour have evolved over time and characterise
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of skeletal muscle in Motor Neuron Disease (MND). You will be involved in all aspects of research, from the conduct of experiments, through to the analysis of data, contribution to writing of research
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Status: Closed Applications open: 28/05/2025 Applications close: 27/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a
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electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our theoretical understanding of gravity and the most extreme regions of the Universe. I am a member of the
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reimagined economic outcomes must be measured in novel ways Focusing on three critical sectors – energy, transport and water – and three key processes – standardising climate information, underwriting climate
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current and past research experience/project (if any). Academic transcripts. Language proficiency results Research Proposal The contact information of two referees. Do take note that the scholarship does
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@adelaide.edu.au), for further information. Please note that applications will be shortlisted on a rolling basis, and the scholarship advertisement will be withdrawn when a suitable candidate is identified.
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Arial 12) Up-to-Date curriculum vitae (3 page maximum) Australian Government Research Training Program (RTP) or equivalent competitive scholarship Letter of Award Academic transcript For more information
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data