17 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Sydney
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of this role. The Faculty of Medicine and Health is the largest faculty in the University and contains seven academic schools https://www.sydney.edu.au/medicine-health/ Sydney Medical School is one of these and
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of this role. The Faculty of Medicine and Health is the largest faculty in the University and contains seven academic schools https://www.sydney.edu.au/medicine-health/ Sydney Medical School is one of these and
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requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit: NSW Health employment requirements http://sydney.edu.au
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in the University and contains seven academic schools https://www.sydney.edu.au/medicine-health/ Sydney Medical School is one of these and includes both metropolitan and rural Clinical Schools https
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Accelerator: https://www.snowmedical.org.au/vision-accelerator The successful candidate will join the Sivyer Laboratory, led by Assoc. Prof. Benjamin Sivyer, which focuses on understanding physiological and
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. Our mission is to develop life-changing treatments for glaucoma and other optic nerve diseases that cause irreversible blindness. Learn more about the Snow Vision Accelerator: https
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on diversity and inclusion . How to apply Applications (including a CV and cover letter outlining how your skills, capabilities and experience meet the requirements for the role) can be submitted via https
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: Advanced Python coding skills, including experience building analytical models, automation workflows and production‑ready solutions Hands‑on experience developing AI agents or applied AI/ML solutions Strong
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experience working with coded statistical analysis tools or software packages, such as R a relevant bachelor’s degree, or an equivalent combination of training and experience, suitable for research
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visualization; applicants are encouraged to include links to relevant code or repositories in their CV experience working with multimodal or data‑driven research workflows and translating quantitative outputs