18 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" Fellowship 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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Part Time (0.8FTE) until June 2030 for a dedicated Res and well organised Research focused Academic working in the field of metabolic health and pregnancy, an area encompassing obesity, lipid metabolism, diabetes, cardiovascular health, and long‑term metabolic disease risk. Base Salary $127,436...
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Part time (0.2 FTE), fixed term until 31 December 2026 (with the possibility of extension) at the Northern Clinical School, Royal North Shore Hospital Utilise your exceptional sleep and cardiovascular clinical and research skills to meaningfully engage and work within the Sleep Research...
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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