185 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at University of Sydney in Australia
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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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has a strong position within Australia and worldwide. To learn more about the School, click here . We are currently seeking to appoint Associate Lecturer (Education) x 8 (Level A) in Computer Sciences
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Data Scientist, you will design, build and deploy production‑grade data science, machine learning and GenAI solutions that address complex, real‑world problems. This is a hands‑on, end‑to‑end role where
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, measure transport and machine learning on developing a novel mathematical framework for identifying reduced dynamical models of high-dimensional complex multi-scale systems. The project will develop fast
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relevant field or an equivalent combination of relevant training and experience experience with learning management systems and education administration ability to communicate effectively and strong computer
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machine learning to discover and develop novel pharmacological treatments for disorders of the brain and mind. The focus of the projects this position will primarily be supporting is small molecule
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experts, using machine learning and modern analytical techniques to build high‑impact, Python‑based products that guide strategic decision‑making across the institution. Key responsibilities: Partner with
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monitoring approaches (e.g., machine learning, real-time sensing). Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible
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across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
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relocation efforts within set timeframes. operate library-related technologies to carry out work activities. learn new tasks rapidly and contribute ideas to solve basic challenges that come up in day-to-day