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Apply now Job no:531509 Work type:Full Time Location:Sydney, NSW Categories:Information Technology Full time continuing role within UNSW IT as a Adobe Technical Lead / Architect Highly competitive salary package available Kensington, Sydney based however we are a hybrid working environment min 2...
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to provide accurate record keeping and reporting. Proficient computing capabilities including competency with all Office 365 applications, in particular Outlook, Word, Excel, CRM, and competency with internet
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delivery and teaching, course/program development and Leadership. A substantial record of effective contribution and achievement in service and administration at school or faculty level, with demonstrated
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. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
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proactive and organised Project Officer to support the School of Systems & Computing in delivering key academic and operational initiatives. This role is ideal for someone who enjoys working across diverse
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undertaking independent and or team research on Scientia Professor Buckley’s Australian Research Council (ARC) Laureate Research Program entitled “The Financial Data Revolution: Seizing the Benefits
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environment. High level proficiency in a range of computing skills including Microsoft Office suite particularly word processing and database, applications, emails, social media applications and websites
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of education, training and/or experience. Excellent oral and written communication skills in conjunction with excellent organisational, customer service and administration skills. Superior computing skills
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educational experience that demonstrates advanced legal knowledge, independent learning, critical thinking and problem solving and communication and interaction skills. For Teaching Fellows in BCCJ program you
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or a related field (e.g. statistics, risk management, economics, quantitative finance) Proven research experience in aged care, longevity, or health risk Strong skills in data analysis and computational