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of Mechanical and Manufacturing Engineering (MECH), the School of Mineral and Energy Resources Engineering (MERE), and the School of Computer Science and Engineering (CSE), as well as contribute to key projects
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 24 hours ago
and 12 students, in collaboration with the Pathways and Access Program Coordinator and UNSW Faculty staff. This role will: Deliver high-quality face-to-face teaching to ACT Year 11 and 12 students in
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29 Aug 2025 Job Information Organisation/Company UNIVERSITY OF ADELAIDE Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Australia
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to deploy soft sensors in real-time environments. Key responsibilities will include: Under the guidance of senior researchers, program process models for the minerals processing industry Assist with
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Food and Beverage Accelerator Program : Based in the School of Chemical Engineering Full-time (100%), fixed-term position for up to 30 April 2027 Base salary will be in the range $93,491.78
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Training Program Coordinator Job No.: 680641 Location: Clayton campus Employment Type: Part-time, fraction (0.5) Duration: 12-month fixed-term appointment Remuneration: Pro-rata of $96,768
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Overview: Senior Project Manager | 14-15 Months fixed-term contract Lead with Impact. Build with Purpose. Shape the future of AI at scale – Lead a multi-year program to develop an enterprise-wide AI
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tools in quantum information science will be advantageous. As the successful applicant, you will also have; ·A PhD Degree in Computer Science, Mathematics, Physics or a very closely related field
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. Provide operational excellence to the School of Physics, Mathematics and Computer Science supporting the Physics Department. Full-time (1.0 FTE) appointment on an ongoing basis. Base salary range: $83,212
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong