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your HPC expertise to enable cutting-edge astronomical research Join a collaborative project shaping the future of radio astronomy technology! About CSIRO As Australia's national science agency, CSIRO is
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
hands-on access to Australia’s national supercomputing infrastructure—including world-class HPC clusters, large-scale GPU systems, cloud platforms, and high-performance file systems. You’ll support
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, you will gain access to the high-performance computing (HPC) facilities at QUT.
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
that supports this project has an expected end date of 30 June 2028. This role gives you hands-on access to Australia’s national supercomputing infrastructure—including world-class HPC clusters, large-scale GPU
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pipelines for large biological datasets optimise workflows for high-performance computing (HPC) and cloud-based environments collaborate closely with experimental research teams to translate model outputs
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analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows
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datasets and run experiments on HPC infrastructure (GPU clusters, SLURM). Strong written communication skills for technical documentation, reporting, and research outputs. Ability to work independently and
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leadership in digital research infrastructure or digital technologies, with a mandatory PhD or equivalent Extensive expertise across cloud computing, HPC, research data management, and cybersecurity A
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service models and strategies to optimise performance, efficiency, and cost-effectiveness Knowledge and practical experience in AI, ML, and HPC, with the ability to support their adoption in research
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fabrication facilities as well as high performance computing (HPC) facilities at QUT. PhD2: Pore-network modelling of reactive transport As a PhD student, you will develop efficient pore-network modelling