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independently in techniques such as Mass spectrometry, and traditional laboratory-based techniques such as histology (IHC and IF), western blots and ELISAs. competency working with small animal models, and
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, group theory, and/or graph theory will be necessary. Experience in modelling biological processes, and in algorithm development or computation will also be valuable. Proven commitment to proactively
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practice and policy · drive translational research activities such as evidence synthesis, economic evaluations, and implementation science approaches that support improved models of care for high‑risk
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to perform in-depth and critical data analyses and, where relevant, data modelling. Ideal candidates will possess: Completion or near completion of a PhD in environmental chemistry, analytical chemistry
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collaboratively in a research environment, communicate clearly, and are motivated to contribute to both scientific discovery and the smooth operation of a research laboratory. Experience with mouse models, flow
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prompts Develop predictive models for sepsis, deterioration and ICU outcomes Create reproducible analysis frameworks using R/Python, GitHub, Quarto or R Markdown Produce real-time dashboards for ICU
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skills in economic evaluation and economic modelling, underpinned by publications in quality journals, and exhibitions where relevant to the discipline. Success in obtaining and timely completion
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) Based at our St Lucia Campus About This Opportunity We are seeking a Postdoctoral Research Fellow to join an ARC Linkage Project focused on advancing geomechanical modelling for underground CO₂ and H
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systems (such as RedCAP), Endnote files, and databases Demonstrated experience with data analysis, visualization, and building machine learning models in programming language such as Python or/and R
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systems, agentic AI, and passive device modelling. As a Research Fellow in AI/ML, you will be embedded in a diverse, multidisciplinary team and will play a key role in advancing research into large language