30 machine-learning "https:" "https:" "https:" "https:" "The Open University" research jobs at University of Sydney
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treatments for glaucoma and other optic nerve diseases that cause irreversible blindness. This position is a funded a Snow Vision Accelerator Postdoctoral Fellowship. Learn more about the Snow Vision
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Research Associates / Magma Research Fellows to develop and maintain the Magma computer algebra system (http://magma.maths.usyd.edu.au/magma/ ). These positions are based at the University of Sydney in a
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a $50 million investment from the Snow family over 10 years. Our mission is to develop life-changing treatments for glaucoma and other optic nerve diseases that cause irreversible blindness. Learn
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an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and agricultural datasets proficiency in R and/or
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: Using big data insights to optimise the manufacturing process The second phase of this project will focus on processing and utilising machine-learning techniques to analyse large volumes of data from
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draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning to assess the impact of colonisation. About you PhD in
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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-team and contribute to a clinical trial research project of national significance for youth mental health. The project applies modern data science methods to build explainable and integrated machine
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computer literacy and customer service skills. Sponsorship / work rights for Australia Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa
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trials of genetically modified cellular (CAR-T cell) immunotherapies for patients with haematologic malignancies. The School of Medical Sciences in the Faculty of Medicine and Health has an exciting