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-disciplinary Engineering Services Team within the College of Science & Engineering, where the Computer Systems Engineer supports the College of Science and Engineering by delivering high-quality technical
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machines and will be highly proficient in the use of manual and numerically controlled machining methods suited to specific construction tasks. You bring a proven track record of independently developing
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(desired) Skills in numerical modelling or programming (e.g., Python, PHREEQC, MODFLOW) (desired) Experience in both qualitative and quantitative hydrogeological methods (desired) This position is open to
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engineering tools and machines and will be highly proficient in the use of manual and numerically controlled machining methods suited to specific construction tasks. You bring a proven track record of
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technical documentation, research publications, and contributing to final project reporting and presentations. About You As the successful candidate, you will possess a PhD in Computer Science, Engineering
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an enthusiastic and innovative Lecturer in Occupational Therapy to deliver high-quality teaching across our programs. You will design and deliver engaging learning experiences using contemporary teaching methods
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(Desirable). Demonstrated knowledge and experience in any of the following areas: Asian/East Asian region; quantitative/analytical methods for policy analysis; ability to integrate First Nations’ perspectives
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ability to adapt process, methods and requirements to meet strict and sometimes conflicting deadlines. Experience operating in traditional and agile project teams across both business and technical subject
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barriers and taking action to promote gender equality in the workplace. We have been awarded Institutional Bronze Accreditation in the SAGE Athena SWAN program, recognising the University’s ongoing efforts
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alignment with clinical needs, user expectations, and technological feasibility. The Research Fellow will also be responsible for contributing to the design and evaluation of stakeholder engagement methods