21 coding-"https:" "https:" "https:" "https:" "https:" "NanoSci" 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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Casual position for a Project and Communications Officer, FLiQC Opportunity to join the administration team at a multi-disciplinary PhD training centre, based at the Sydney Nanoscience Hub HEO 5
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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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of relevant training and experience, experience conducting literature searches, running code, and managing both numeric and sequence data in a research-intensive environment, experience with at least one data
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research databases (including REDCap) demonstrated high-level proficiency in R (or equivalent statistical coding environment) for analysis of large, complex datasets demonstrated experience working with