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Research Fellow to engage in research on the area of data analytics, modelling, machine learning and process control to further their expertise and growing research profile in their discipline. The focus
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You Completion (level A and B) or near completion (level A) of a PhD in the field of Information Retrieval, Natural Language Processing, or Machine Learning on Textual Data. Demonstrated expert
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of traits into elite germplasm. This will require the integration of several technologies, such as genomics, machine learning, genetic simulation and speed breeding. This is a unique opportunity for a
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intensive care data to develop risk prediction models, and translate models into clinical practice. The successful applicant will ideally have a growing research profile in data science, machine learning
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to quickly acquire new laboratory techniques and to perform them routinely at a high level of accuracy and efficiency. Experience in meaningful internal service roles and contributions towards external
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, provide support to colleagues, and uphold university values. Teaching: Engage in undergraduate teaching opportunities or teach at least one undergraduate subject annually while and participate in events
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have delivered rapid outcomes with immediate impact on patient care. Locking in this learning in The University of Queensland’s investigator-led RCTs will lead to effective treatments being accessible