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computational fluid-solid mechanics with a focus on coupled poromechanical modelling for coal seam gas (CSG) production, fluid injection, and geomechanical responses such as subsurface compaction and subsidence
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Australian National University | Canberra, Australian Capital Territory | Australia | about 8 hours ago
available at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role supports computational analysis of high-resolution spatial transcriptomics and single
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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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of Mechanical, Medical and Process Engineering, Faculty of Engineering. The Artificial Heart Frontiers Program (AHFP) is seeking a highly motivated Mechanical Engineer with a specialisation in Computational Fluid
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and
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Full time, 2 years fixed term opportunity (with the possibility of extension). Located on the Darlington Campus at the School of Aerospace, Mechanical and Mechatronic Engineering (AMME) Contribute
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School of Mechanical and Mining Engineering – Faculty of EAIT Full-time (100%), fixed-term position for up to 21 months Base salary will be in the range $114,824.05 - $136,048.72 + 17
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ANSTO (Australia), Imperial College London (UK), and Tokamak Energy (UK), is launching a groundbreaking research program focused on developing new materials for compact tokamak reactors. We are recruiting
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) Sydney, in partnership with ANSTO (Australia), Imperial College London (UK), and Tokamak Energy (UK), is launching a groundbreaking research program focused on developing new materials for compact tokamak
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pathways; target delivery mechanisms; and radiation shielding options. Your research will contribute to the project outcomes that will provide insight into the feasibility and potential of advanced, quasi