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experience. Experience in analysing large, complex ecological or biodiversity datasets. Strong proficiency in statistical modelling, including experience with species distribution models, community ecology
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to pushing the boundaries of eDNA science through exploring eDNA enrichment, quantification and modelling/software methods. We are seeking a creative and motivated Early Career Postdoctoral Research Fellow to
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. The ideal applicant will demonstrate strong analytical skills, a proven publication record, and the ability to communicate complex scientific information effectively. You’ll work with state-of-the-art
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policy, systems and management, gender and health, occupational health, and public health practice. This position is to support an ARC funded project (DP250100393) focussed on developing a model of
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modelling and machine learning to join and lead a dynamic international team of early-career researchers. This exciting role is part of a cutting-edge project investigating the structural integrity
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practice. This position is to support an ARC funded project (DP250100393) focussed on developing a model of sustainable work to enable long working lives. This project aims to build a contemporary post-covid
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modelling of cohort studies to identify risk factors and produce individual and population-based estimates. Participate in and/or present at conferences and/or workshops relevant to the project as required
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independently and design/interpret experiments using in vivo animal models and ex vivo methods, adhering to PPE requirements (including PAPR use with restricted carcinogens). Demonstrated critical thinking
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networks and/or probabilistic graphical models; and causal inference. An outstanding publication record in top tier machine learning and/or computer vision conferences or journals, commensurate with
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Research Fellow in Neurocognition & Modelling Job No.: 684026 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A