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a team The ability to acquire basic computer skills The ability to demonstrate a high degree of accuracy and attention to detail An ability to work in a busy customer service environment and a
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seeking applicants with experience in: Radial velocity, stellar, and/or exoplanet spectroscopy studies; and/or astronomical instrumentation or observing programmes Machine learning in physical science
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workload management skills with demonstrated ability to prioritise effectively, manage multiple tasks, meet deadlines, and achieve required outcomes superior computer skills, including database maintenance
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June 2026 HEO 6 Step 1 $70.63 per hour plus Superannuation About us We are looking for a skilled Fitter/ Machinist (Technical Officer – Workshops) with experience in machining and/or fabrication
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researchers, to undertake your own innovative research in and across the fields of robotics, electrical power and signal processing, machine learning and AI within the School of Electrical Engineering and
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of working for Campus Life Join a supportive, inclusive and vibrant team Instruct participants from the broader community as well as university members and students Be involved in member engagement events
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Full time (flexibility considered), Fixed term until 31 December 2026 Work closely with academics, students and community partners to deliver a unique multidisciplinary learning experience in rural
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electrical works, including a demonstrated ability to consult and liaise with staff from all levels of university and external parties. Effective computer and mobile literacy with experience utilising digital
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community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best work
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Computer Systems 1 Bachelor of Engineering (single or double degree) Aerospace Mechanical Automotive Manufacturing Mechatronics Sustainable Systems Electrical Computer and Network Engineering Double degrees