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fully resolved single-fracture simulations to large-scale discrete fracture network (DFN) upscaling. Your work will directly address high-value industry challenges in energy and resource systems. CML is
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at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks
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research focus areas. The Research Fellow will embed their research expertise into the life of the School through the development of high-quality, productivity driven research networks across RMIT and with
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Develop and support Cube Analysis and Rendering Tool for Astronomy (CARTA) software within a global team to enable high-impact science using SKA data and infrastructure. Full-time appointment on a
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University of Western Sydney | The University Of Sydney, New South Wales | Australia | about 1 month ago
, electronic and software engineering. The Institute consists of three Research Areas - the International Centre for Neuromorphic Systems, Brain Sciences, and Biomedical and Human Technologies. The Postdoctoral
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until June 2027 • Location: Macquarie University (Wallumattagal Campus, North Ryde) Join a leading ecology and evolutionary biology research team to uncover the role of ecological interaction networks as
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. The Research Fellow will embed their research expertise into the life of the School through the development of high-quality, productivity driven research networks across RMIT and with local and national
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. Proficiency in deploying and managing wildlife camera‑trap networks and processing large image datasets. Experience developing and validating machine‑learning and AI models for image object detection and
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or borehole reflection seismic data using industry-standard software. Experience, willingness and ability to participate in field acquisition of land and downhole seismic data. Experience in or commitment
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experience in python, C++ or other relevant language and experience in deep neural networks Strong mathematical capability, especially for Theme 1, with applicants holding an undergraduate or postgraduate