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Job no:517174 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Level B (Level A/B) $102,024 to $135,932 per annum plus an employer contribution of 17% superannuation applies. Fixed term, full time position available for 2 years with a possibility of extension. About the...
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THE UNIVERSITY OF LIVERPOOL FACULTY OF SCIENCE AND ENGINEERING SCHOOL OF PHYSICAL SCIENCES DEPARTMENT OF CHEMISTRY POSTDOCTORAL RESEARCH ASSOCIATE IN THEORETICAL CHEMISTRY GRADE 7, £39,355 – £45,413
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rely on purified CO₂ gas as feedstock, necessitating costly and energy-intensive capture, purification, and compression processes. Furthermore, high-efficiency alcohol production has primarily been
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is an equally strong sense of cohort among the history postgraduate students. The historians are internationally-recognised scholars successful in attracting national and international competitive
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 9 days ago
technologies or IoT being advantageous. A background/knowledge in agriculture relevant to project focus will be desirable. Familiarity with digital twin modelling, remote sensing, and cloud computing is valued
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provider how to adjust their compression depth, rate, and release to improve patient outcomes. The student will have the opportunity to work with a range of engineers, doctors, and paramedics and will help
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-fuelled PCFCs. Ammonia is readily liquefied at room temperature under 8 bar pressure or at -33°C under ambient pressure, offering a significantly higher volumetric energy density than compressed hydrogen
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with digital twin modelling, remote sensing, and cloud computing is valued, as is a commitment to learning and advancing in these areas. The successful candidate will have the ability to work with large
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networks, and a collaborative, interdisciplinary research environment.Submit your Expression of Interest (EOI) via email to Dr Madeline Sprajcer at m.sprajcer@cqu.edu.au as soon as possible. Please feel free
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This project aims to develop outcome measures for early detection of neurodegenerative disorders using artificial intelligence (AI) and various sensing modalities, offering personalised support to