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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
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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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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview A reliable
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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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problems and data types and modality, from large-scale unstructured data, to highly varied sensor data and multimodal data. ADM+S students will participate in a national ARC Centre-based research and
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advantageous. Proven expertise in handling large datasets and time-series analysis. Familiarity with electricity market data is a plus. Advanced Python programming skills, preferably with experience in machine
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, as One Swinburne. How to apply and further information Please submit your CV and cover letter addressing why you believe you are suitable for this position. For further information about this position
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Status: Open Applications open: 5/09/2024 Applications close: 31/12/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by CSIRO
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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
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hectares. In the 21st century, losses have become more frequent with a constant stream of large buildings taking over sites that were once Open Green Public land. A research industry internship have been