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relevant materials characterisation techniques, such as XRD, SEM/TEM, XPS, Raman, spectroscopy, or related methods, and the ability to interpret structure–property–performance relationships. Demonstrated
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potentially lead research work in breast cancer prevention and early detection, including trials and cohort studies in collaboration with the BreastScreen Program design and contribute to public health and
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, and computational methods for analysing complex biological datasets. Experience with single-cell and spatial omics technologies, including transcriptomics, metabolomics, or multi-omics data integration
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-quality research using large-scale healthcare datasets, applying statistical, machine learning and natural language processing methods to address clinically relevant questions. The role will contribute
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research and teaching. It offers world class undergraduate psychology degrees, as well as postgraduate professional Masters training in Clinical and Forensic Psychology, an online Graduate Diploma program
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researcher and primary point of contact for the project designing, collecting, and analysing data using appropriate computational, experimental, or corpus‑based methods preparing manuscripts and contributing
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methods to understand the barriers and facilitators to implementing evidence-based practices, we can develop strategies to promote their adoption and sustainment in real-world settings. About this role
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Innovation Centre (UNIC) SocioTechnical nuclear Systems research program. You will work in a close-knit team of experts from UNSW Law, Engineering and Canberra faculties, as well with as key international
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industry partner, CSL Behring. These datasets hold critical patterns, anomalies, and insights that traditional methods miss. You will develop, test, and evaluate robust, interpretable machine learning models
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position through to end of September 2029 Base salary