302 data-"https:" "https:" "https:" "https:" "https:" "https:" "University of Exeter" positions at Monash University in Australia
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assays, bacterial susceptibility testing, and related laboratory procedures. Supporting research operations and data integrity by managing experiment scheduling, collecting and analysing data, preparing
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will study the development, adoption, and implications of digital technology and insurance—such as tools for capturing individualised data about behavioural risk factors and automating enforcement
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faculty before beginning your application. For more information visit our website or contact our Graduate Research Admissions team on E: mgro-apply@monash.edu or T: +61 3 99051538 Please ensure that you
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into action, where you harness data to challenge the status quo, modernise practices and embed smarter, more agile ways of working. Collaborating with senior leaders across eSolutions and the wider University
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. The role is primarily responsible for functions including defence, foreign interference, AI and data security and will uphold high standards, shaping a cohesive, high‑performance culture. This is an exciting
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and data-driven insight. Your work will span engineering design and testing, laboratory and field experimentation, trial coordination, advanced data analysis, and research administration. You will plan
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Doctorate and Research Masters degrees. For further information refer to Monash Indigenous Research Scholarships . These top-up scholarships help support students with living costs and are awarded in
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, maintains a safe and organised workspace and contributes to data collection and routine analysis. Attendance at meetings, training and activities across Victorian campuses may also be required to support
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! Possible projects involve massive stellar binaries, gravitational-wave data analysis, astrostatistics, dynamics in galactic centres and globular clusters, probes of general relativity in the strong-field
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much