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include: Research: Supports the team’s research program to achieve recognition and impact in the field, by designing and developing precision opto-mechanical components and assemblies; developing mechanical
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their best work. The School of Physics is one of the leading Physics schools in Australia. It offers a world class undergraduate physics degree, as well as a postgraduate PhD research program for over 50
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of social dynamics. Motivating aims include the discovery and analysis of hidden large-scale patterns in data/models, elucidating mechanisms underlying the emergence of these large-scale phenomena and their
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School of Mechanical and Mining Engineering – Faculty of EAIT Full-time, fixed-term position for 2 years Base salary will range from $114,824 - $136,048 + 17% Superannuation (Academic Level B) Based
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
, attention-based models, and multi-modal learning approaches—to model RNA-mediated regulatory mechanisms and their dynamic interactions in disease. The position is part of an NHMRC Ideas Grant project
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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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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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the Addiction & Impulsivity Research Lab and the Computational & Systems Neuroscience Lab . You will be part of a collaborative environment that integrates expertise in psychology, neuroscience and computational
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(CRISPR screens, Chromatin IP, ATAC-seq) and cellular biology (cell death mechanisms, immunology), and experience with animal models and organoid cultures. Position 3 will focus on Bioinformatics
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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