16 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Fellowship positions 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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systems (such as RedCAP), Endnote files, and databases Demonstrated experience with data analysis, visualization, and building machine learning models in programming language such as Python or/and R
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presentation skills, with the ability to engage effectively with diverse audiences. Highly organised with strong planning, research, and computer literacy skills to manage research projects and administrative
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organisational skills, with the ability to manage competing priorities and meet deadlines. Experience in supervising and mentoring students or junior staff, alongside strong computer literacy and a commitment to
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. The Research Fellow will contribute to the development of an implementation science evidence-base to support the transferability of this learning for adaptation to other settings. The successful applicant would
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researchers, or clinical trainees, and supporting their development in systematic reviews, evidence synthesis, epidemiology and research methods · strong computer literacy, including statistical software
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organisational skills, with the ability to work effectively both independently and as part of a team be confident using computer applications including the Microsoft Office suite and online collaboration tools
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that enhances policy, practice, industry, and community outcomes · work effectively with multidisciplinary teams including clinicians, human factors experts, computer scientists, and AI experts
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. Strong planning, organisational, computer literacy, and interpersonal skills, with the ability to manage competing priorities effectively. Sponsorship / work rights for Australia You must have unrestricted
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expertise and an emerging profile in the general IEQ domain, with a focus on acoustics of various indoor typologies such as office, learning, residential, and sleep environments; experience with programming