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. This is a unique opportunity to work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI
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, while the production of open source software is critical to ensure that project outcomes are translated to industry practice. Candidates with skills aligned to the project, will be highly competitive and
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of Civil & Environmental Engineering is seeking an exceptional early-career researcher to join a nationally significant ARC Discovery Project exploring the sustainable size of cities and the transformative
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working with refugee and asylum seeker populations. Strong skills in statistical analysis, manuscript preparation and the use of software such as SPSS, Stata, R or Python are also essential. This is a rare
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software such as redcap, R, python. Experience in clinical trial management and coordination, including regulating clinical research with a large human subjects component. Strong knowledge of ICH Guidelines
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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statistical software Knowledge of Good Clinical Practice requirements and adherence to research guidelines Experience conducting research involving participants with chronic health conditions If you're ready to
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publications. It involves conducting systematic reviews and working with analytical software such as R or Python, with a focus on both independent and collaborative research. The role also requires experience in
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engineered heart tissues. Our goal is to uncover new therapeutic approaches for children with rare genetic conditions. As a Level A Research-Only Academic, you will contribute to a dynamic and collaborative
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transformative sensing technologies. engineer novel fluorescent probes through advanced design, synthesis, purification, and characterisation techniques. perform high-resolution fluorescence microscopy experiments