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Australia. We are seeking a Postdoctoral Research Fellow specialising in machine learning to join a team of researchers to establish workflows to drive strain design and bioreactor operation optimisation
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Analytics for the Australian Grains Industry (AAGI) Spearhead ground breaking advancements in data engineering by leveraging cutting-edge machine learning techniques Strong commitment and action
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scientists, a bioinformatician and a machine learning specialist to construct custom workflows that allow the high-throughput processing and analysis of data from a Laboratory Information Management System
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information. federated learning, whereby a machine learning model can be trained by using data from different clinical sites but without requiring central data aggregation. The data used in this project will
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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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receive regular remuneration increases in line with the Enterprise Agreement. About You At degree in machine learning, statistics, or related discipline with experience as a biometrician. At least 1 year of
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, and to identify and implement improvement opportunities as they arise. Sound level of proficiency in standard computer software packages, including Microsoft word processing, spreadsheets, Microsoft
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UQ Brisbane City is part of UQ Venues Be part of the place for professional growth, learning and connection Multiple Casual Opportunities $35.43 per hour + 11% superannuation contributions Based
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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