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projects attached to the research center/cluster and The Business School (TBS), either directly as project member, project leader or under the guidance of the project leader. Working under the general
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in utilizing machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn. At least 2 years of experience working with Linux computing clusters. Ability to work independently and within a
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tools (e.g. kneadata, metaphlan2, HUMAnN) Experience working in high performance computing cluster Experience in AI/ML, cloud computing, web development are assets Hiring Institution: LKC
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to recognise subpopulations, cell clustering alone provides limited functional data. Integrating transcriptomic with spatial data indicating proximity of neighbourhood populations can deliver a step change in
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adaptive trials, stepped wedge trials and cluster trials. You will have good knowledge of applied statistics and statistical theory, especially for pragmatic trials and complex randomisation systems. You
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interdisciplinary by nature and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women's Health cluster) for REF was rated
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 17 hours ago
be based in the School of Medicine and Psychology, with strong links to the School of Computing within the Data Science and Analytics cluster. The successful candidate(s) will contribute
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adaptive trials, stepped wedge trials and cluster trials. You will have good knowledge of applied statistics and statistical theory, especially for pragmatic trials and complex randomisation systems. You
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courses How to apply Closing date: By 11:55pm, Sunday 14th September 2025 Position Enquiries: Jodi Oakman, Professor (Discipline Cluster Lead) Psychology & Public Health via email: J.Oakman@latrobe.edu.au
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implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised