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prototype integration to translate sensor outputs into clinically relevant protein biomarker data. The role will involve laboratory-based experimentation, data analysis, and active contribution to scholarly
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preparation, and data analysis Assist in systematic reviews and grant development What you’ll bring: An honours degree or higher in a biomedical, allied health, or clinical research field Experience working in
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Job no:520688 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences Develop and support Cube Analysis and Rendering Tool for Astronomy (CARTA) software within a
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behaviour during bushfires, including the conduct of online surveys with bushfire survivors to study evacuee transport behaviour and the analysis of quantitative data, involving the development of statistical
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Development Institute). The Research Fellow will develop AI-based methods that support fine-grained weather analysis for sectors such as wind resources and prediction under climate change. In close
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Develop and support Cube Analysis and Rendering Tool for Astronomy (CARTA) software within a global team to enable high-impact science using SKA data and infrastructure. Full-time appointment on a
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support of high-quality research outcomes at all stages of the project, including data collection and analysis, and dissemination of project results via research publications, conference presentations, and
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to scientific publications and undertake dynamical and quantitative data analysis as required to communicate project outcomes. Support the dissemination of research outcomes through appropriate media channels and
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Job Reference: 997149 About the role We are seeking a motivated Research Fellow - Qualitative Data Collection and Analysis to join our NHMRC Assess for Success team. We will be looking to transform
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advanced surface analysis techniques. This academic position will have the freedom to drive fundamental and applied ToF-SIMS-related research in a discipline of their choosing. Your new Team - John de Laeter