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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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the research culture and academic output of the QRC-PVD and affiliated groups. Engage with professional networks, conferences and seminars to enhance research impact. Uphold JCU’s values, commitment
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criteria A PhD in Computer Science or Software Engineering or Computational Statistics, or a related field; or a Master’s qualification in a relevant field and/or equivalent demonstrated experience
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knowledge within the discipline at a national level has an established network of relationships (national and international) with academic, industry and professional institutions that enhance the standing
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sciences, spatial statistics and genetics. Your responsibilities will include but are not limited to: Developing code and using statistical software to manage and analyse data Contributing to the drafting
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of contributing to building and maintaining effective and productive networks with the discipline, profession, industry (where relevant) and wider community. Demonstrated understanding of natural
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institutions, including Politecnico di Torino, to advance scientific understanding and drive innovation through agent-based models, population models, and software implementations. This unique opportunity allows
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delivery and education provide informal mentorship to junior researchers and contribute to a collaborative and inclusive research culture actively participate in professional networks contributing
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(Japanese-based staff). Please note for the purposes of this program early career researchers are defined as academic staff who have completed their PhD within the last ten years. South Australian Applicants
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or research institution. Benefits The Net Annual Income of the fund is to be used to provide one or more fellowships. Each fellowship is paid in two equal instalments: the first upon acceptance