182 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" uni jobs at Monash University
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Senior HR Adviser - Multiple Opportunities Job No.: 687663 Location: 211 Wellington Road, Mulgrave & Clayton campus Employment Type: Full-time and Part-time (0.6 FTE) opportunities Duration: Fixed
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Computer Science Bachelor of Computer Science (Honours) Bachelor of Computer Science Advanced (Honours) Bachelor of Information Technology Bachelor of Engineering (Software Engineering) or Double degrees involving
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assistance to disadvantaged students seeking to complete a Monash undergraduate Engineering degree. Applications Not awarded in 2025 Total scholarship value Up to $32,000 Number offered One See details Richard
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, Faculty of Science or Faculty of Engineering at a Monash campus in Australia. Experiencing financial hardship .and be from a regional or remote area Benefits $10,000 per annum (48 credit points of study
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. Working within the Operations team and collaborating across multiple university nodes, you’ll be at the heart of the Centre’s mission. About You To be successful in this role, you will have: Demonstrated
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for diverse audiences across multiple traditional and digital channels. Excellent interpersonal skills and the ability to liaise with and influence a broad range of stakeholders, including senior staff
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each year (subject to suitable applicants) one in the Humanities and Social Sciences (HASS) disciplines one in the Science, Technology, Engineering and Mathematics (STEM) disciplines Selection criteria
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digital healthcare. A second position will be in Software Engineering to further strengthen the Department of Software Systems and Cybersecurity’s technical expertise. The successful candidate will advance
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of Physics and Astronomy. This is a rare opportunity to establish and grow a world-class research program at the heart of Monash’s growing research in nanoscience and technology. We are especially keen to
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analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows